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19 Commits

Author SHA1 Message Date
Paul Masurel
45da5829bc added unit test 2019-09-10 08:31:27 +09:00
Paul Masurel
e2f7aab39f Added exact fuzzy query 2019-09-07 15:39:04 +09:00
Paul Masurel
1b9cbdb672 blop 2019-09-07 15:05:21 +09:00
Paul Masurel
a8f3cf9679 Added an incremental search crate 2019-09-07 13:23:58 +09:00
Paul Masurel
4b9c1dce69 Moving queyr grammar to a different crate. (#645) 2019-09-05 09:37:28 +09:00
Paul Masurel
d74f71bbef Lighter regex dependency. (#644)
Detail on https://github.com/rust-lang/regex/pull/613
2019-09-04 13:10:12 +09:00
Paul Masurel
5196ca41d8 Small code clean up 2019-09-03 09:22:32 +09:00
dependabot-preview[bot]
4959e06151 Update once_cell requirement from 0.2 to 1.0 (#643)
Updates the requirements on [once_cell](https://github.com/matklad/once_cell) to permit the latest version.
- [Release notes](https://github.com/matklad/once_cell/releases)
- [Changelog](https://github.com/matklad/once_cell/blob/master/CHANGELOG.md)
- [Commits](https://github.com/matklad/once_cell/compare/v0.2.0...v1.0.2)

Signed-off-by: dependabot-preview[bot] <support@dependabot.com>
2019-09-03 07:00:45 +09:00
Paul Masurel
c1635c13f6 RegexQuery performance: make it possible to cache Regexes - remastered by fulmicoton (Closes #639) (#641)
* small docs cleanup

* only compile a regex once per RegexQuery

Building a `Regex` is an expensive operation. Users of `RegexQuery`
need to cache and reuse regexes when searching across multiple fields.

This is the first step towards allowing that: we can store the `Regex`
directly in the `RegexQuery`, instead of the string pattern.

* RegexQuery: account for possible failure in the constructor

When building a regex from a str pattern, we have to account for the
possibility that the pattern is invalid. Before the previous commit, the
failure would happen in the `specialized_weight` method. Now that we
store a compiled `Regex` in `RegexQuery`, `specialized_weight` doesn't
fail anymore, and we can fail early while constructing `RegexQuery` if
the pattern is invalid.

This is a breaking change for users of `RegexQuery::new`.

* add RegexQuery::from_regex method

This builds a `RegexQuery` from an already compiled `Regex`. The use of
`Into<Arc<Regex>>` is to allow the caller to either simply pass a
`Regex`, or an `Arc<Regex>`, in case it needs to be cached and shared on
the caller's side.

* Using an Arc in AutomatonWeight

Closes #639
2019-08-22 16:14:01 +09:00
Paul Masurel
135e0ea2e9 Expose new segment meta from Index (#637) 2019-08-19 10:39:15 +09:00
Paul Masurel
f283bfd7ab Added segmentid_from_string (#636) 2019-08-19 10:37:30 +09:00
Joshua Dutton
9f74786db2 Update import statements in examples, doctests (#633)
Update import statements to edition 2018, including removing
`extern crate` and  `#[macro_use]`. Alphabetize the statements.
2019-08-19 07:26:35 +09:00
Joshua Dutton
32e5d7a0c7 Fix trait object in doctest (#635) 2019-08-19 07:25:00 +09:00
Joshua Dutton
84c615cff1 Fixing typos (#634) 2019-08-19 07:24:05 +09:00
Paul Masurel
039c0a0863 Introducing a wrapper struct instead of Boxed<BoxableTokenizer> (#631)
Closes #629
2019-08-15 16:37:04 +09:00
Paul Masurel
b3b0138b82 Change for tantivy-py
Schema.convert_named_doc
Better Debug string for Terms and TermQueries
2019-08-14 17:44:25 +09:00
petr-tik
ea56160cdc Added cargo-fmt to CI runs (#627)
* Added cargo-fmt to CI runs

Closes #625

* Remove fmt from appveyor builds

Windows seems to have issues with install components through rustup.

Formatting should be equally informative regardless of the OS,
so best to keep it in Linux on Travis
2019-08-12 08:25:47 +09:00
petr-tik
028b0a749c Elastic unbounded range query (#624)
* Tidy up

fmt

remove unneccessary -> Result<()> followed by run.unwrap() in a test

* Adding support for elasticsearch-style unbounded queries

Extend the UserInputBound to include Unbounded, so we can reuse formatting and
internal query format

* Still working on elastic-style range queries

Fixes #498

Merge the elastic_range into range

Reformat to make code easier to follow, use optional() macro to return Some

* Fixed bugs

Made the range parser insensitive to whitespace between the ":" and the range.

Removed optional parsing of field.

Added a unit test for the range parser.

Derived PartialEq to compare the results of parsing as structs, instead of
strings. Found a bug with that unit test - "*}" was parsed as an
UserInputBound::Exclusive, instead of UserInputBound::Unbounded. Added an early
detection-and-return for * in the original range parser

* Correct failing test

Assume that we will use "{*" for Unbounded ranges

* Add a note in the changelog

cargo-fmt

* Moved parenthesis to a newline to make nested if-else more visible
2019-08-12 08:24:47 +09:00
Paul Masurel
941f06eb9f Added Schema.from_named_doc 2019-08-11 16:50:32 +09:00
57 changed files with 1507 additions and 452 deletions

View File

@@ -47,6 +47,7 @@ matrix:
before_install:
- set -e
- rustup self update
- rustup component add rustfmt
install:
- sh ci/install.sh
@@ -60,6 +61,7 @@ before_script:
script:
- bash ci/script.sh
- cargo fmt --all -- --check
before_deploy:
- sh ci/before_deploy.sh

View File

@@ -5,7 +5,15 @@ Tantivy 0.11.0
- Various bugfixes in the query parser.
- Better handling of hyphens in query parser. (#609)
- Better handling of whitespaces.
- Closes #498 - add support for Elastic-style unbounded range queries for alphanumeric types eg. "title:>hello", "weight:>=70.5", "height:<200" (@petr-tik)
- API change around `Box<BoxableTokenizer>`. See detail in #629
- Avoid rebuilding Regex automaton whenever a regex query is reused. #630 (@brainlock)
## How to update?
- `Box<dyn BoxableTokenizer>` has been replaced by a `BoxedTokenizer` struct.
- Regex are now compiled when the `RegexQuery` instance is built. As a result, it can now return
an error and handling the `Result` is required.
Tantivy 0.10.1
=====================

View File

@@ -15,23 +15,23 @@ edition = "2018"
[dependencies]
base64 = "0.10.0"
byteorder = "1.0"
once_cell = "0.2"
regex = "1.0"
once_cell = "1.0"
regex ={version = "1.3.0", default-features = false, features = ["std"]}
tantivy-fst = "0.1"
memmap = {version = "0.7", optional=true}
lz4 = {version="1.20", optional=true}
snap = {version="0.2"}
derive_builder = "0.7"
atomicwrites = {version="0.2.2", optional=true}
tempfile = "3.0"
log = "0.4"
combine = ">=3.6.0,<4.0.0"
serde = "1.0"
serde_derive = "1.0"
serde_json = "1.0"
num_cpus = "1.2"
fs2={version="0.4", optional=true}
itertools = "0.8"
levenshtein_automata = {version="0.1", features=["fst_automaton"]}
levenshtein_automata = "0.1"
notify = {version="4", optional=true}
bit-set = "0.5"
uuid = { version = "0.7.2", features = ["v4", "serde"] }
@@ -42,6 +42,7 @@ owning_ref = "0.4"
stable_deref_trait = "1.0.0"
rust-stemmers = "1.1"
downcast-rs = { version="1.0" }
tantivy-query-grammar = { path="./query-grammar" }
bitpacking = {version="0.8", default-features = false, features=["bitpacker4x"]}
census = "0.2"
fnv = "1.0.6"
@@ -80,10 +81,14 @@ failpoints = ["fail/failpoints"]
unstable = [] # useful for benches.
wasm-bindgen = ["uuid/wasm-bindgen"]
[workspace]
members = ["query-grammar", "incremental-search"]
[badges]
travis-ci = { repository = "tantivy-search/tantivy" }
[dev-dependencies.fail]
version = "0.3"
features = ["failpoints"]
# Following the "fail" crate best practises, we isolate

3
Makefile Normal file
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@@ -0,0 +1,3 @@
test:
echo "Run test only... No examples."
cargo test --all --tests --lib

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@@ -7,7 +7,7 @@ set -ex
main() {
if [ ! -z $CODECOV ]; then
echo "Codecov"
cargo build --verbose && cargo coverage --verbose && bash <(curl -s https://codecov.io/bash) -s target/kcov
cargo build --verbose && cargo coverage --verbose --all && bash <(curl -s https://codecov.io/bash) -s target/kcov
else
echo "Build"
cross build --target $TARGET
@@ -15,7 +15,8 @@ main() {
return
fi
echo "Test"
cross test --target $TARGET --no-default-features --features mmap -- --test-threads 1
cross test --target $TARGET --no-default-features --features mmap
cross test --target $TARGET --no-default-features --features mmap query-grammar
fi
for example in $(ls examples/*.rs)
do

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@@ -5,20 +5,17 @@
//
// We will :
// - define our schema
// = create an index in a directory
// - index few documents in our index
// - search for the best document matchings "sea whale"
// - retrieve the best document original content.
// - create an index in a directory
// - index a few documents into our index
// - search for the best document matching a basic query
// - retrieve the best document's original content.
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::Index;
use tantivy::ReloadPolicy;
use tantivy::{doc, Index, ReloadPolicy};
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {
@@ -33,7 +30,7 @@ fn main() -> tantivy::Result<()> {
// and for each field, its type and "the way it should
// be indexed".
// first we need to define a schema ...
// First we need to define a schema ...
let mut schema_builder = Schema::builder();
// Our first field is title.
@@ -48,7 +45,7 @@ fn main() -> tantivy::Result<()> {
//
// `STORED` means that the field will also be saved
// in a compressed, row-oriented key-value store.
// This store is useful to reconstruct the
// This store is useful for reconstructing the
// documents that were selected during the search phase.
schema_builder.add_text_field("title", TEXT | STORED);
@@ -57,8 +54,7 @@ fn main() -> tantivy::Result<()> {
// need to be able to be able to retrieve it
// for our application.
//
// We can make our index lighter and
// by omitting `STORED` flag.
// We can make our index lighter by omitting the `STORED` flag.
schema_builder.add_text_field("body", TEXT);
let schema = schema_builder.build();
@@ -71,7 +67,7 @@ fn main() -> tantivy::Result<()> {
// with our schema in the directory.
let index = Index::create_in_dir(&index_path, schema.clone())?;
// To insert document we need an index writer.
// To insert a document we will need an index writer.
// There must be only one writer at a time.
// This single `IndexWriter` is already
// multithreaded.
@@ -149,8 +145,8 @@ fn main() -> tantivy::Result<()> {
// At this point our documents are not searchable.
//
//
// We need to call .commit() explicitly to force the
// index_writer to finish processing the documents in the queue,
// We need to call `.commit()` explicitly to force the
// `index_writer` to finish processing the documents in the queue,
// flush the current index to the disk, and advertise
// the existence of new documents.
//
@@ -162,14 +158,14 @@ fn main() -> tantivy::Result<()> {
// persistently indexed.
//
// In the scenario of a crash or a power failure,
// tantivy behaves as if has rolled back to its last
// tantivy behaves as if it has rolled back to its last
// commit.
// # Searching
//
// ### Searcher
//
// A reader is required to get search the index.
// A reader is required first in order to search an index.
// It acts as a `Searcher` pool that reloads itself,
// depending on a `ReloadPolicy`.
//
@@ -185,7 +181,7 @@ fn main() -> tantivy::Result<()> {
// We now need to acquire a searcher.
//
// A searcher points to snapshotted, immutable version of the index.
// A searcher points to a snapshotted, immutable version of the index.
//
// Some search experience might require more than
// one query. Using the same searcher ensures that all of these queries will run on the
@@ -205,7 +201,7 @@ fn main() -> tantivy::Result<()> {
// in both title and body.
let query_parser = QueryParser::for_index(&index, vec![title, body]);
// QueryParser may fail if the query is not in the right
// `QueryParser` may fail if the query is not in the right
// format. For user facing applications, this can be a problem.
// A ticket has been opened regarding this problem.
let query = query_parser.parse_query("sea whale")?;
@@ -221,7 +217,7 @@ fn main() -> tantivy::Result<()> {
//
// We are not interested in all of the documents but
// only in the top 10. Keeping track of our top 10 best documents
// is the role of the TopDocs.
// is the role of the `TopDocs` collector.
// We can now perform our query.
let top_docs = searcher.search(&query, &TopDocs::with_limit(10))?;

View File

@@ -9,15 +9,12 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::{Collector, SegmentCollector};
use tantivy::fastfield::FastFieldReader;
use tantivy::query::QueryParser;
use tantivy::schema::Field;
use tantivy::schema::{Schema, FAST, INDEXED, TEXT};
use tantivy::SegmentReader;
use tantivy::{Index, TantivyError};
use tantivy::{doc, Index, SegmentReader, TantivyError};
#[derive(Default)]
struct Stats {

View File

@@ -2,14 +2,11 @@
//
// In this example, we'll see how to define a tokenizer pipeline
// by aligning a bunch of `TokenFilter`.
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::tokenizer::NgramTokenizer;
use tantivy::Index;
use tantivy::{doc, Index};
fn main() -> tantivy::Result<()> {
// # Defining the schema

View File

@@ -8,13 +8,10 @@
//
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::TermQuery;
use tantivy::schema::*;
use tantivy::Index;
use tantivy::IndexReader;
use tantivy::{doc, Index, IndexReader};
// A simple helper function to fetch a single document
// given its id from our index.

View File

@@ -12,12 +12,10 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::FacetCollector;
use tantivy::query::AllQuery;
use tantivy::schema::*;
use tantivy::Index;
use tantivy::{doc, Index};
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {

View File

@@ -2,14 +2,10 @@
//
// Below is an example of creating an indexed integer field in your schema
// You can use RangeQuery to get a Count of all occurrences in a given range.
#[macro_use]
extern crate tantivy;
use tantivy::collector::Count;
use tantivy::query::RangeQuery;
use tantivy::schema::{Schema, INDEXED};
use tantivy::Index;
use tantivy::Result;
use tantivy::{doc, Index, Result};
fn run() -> Result<()> {
// For the sake of simplicity, this schema will only have 1 field

View File

@@ -9,11 +9,8 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::schema::*;
use tantivy::Index;
use tantivy::{DocId, DocSet, Postings};
use tantivy::{doc, DocId, DocSet, Index, Postings};
fn main() -> tantivy::Result<()> {
// We first create a schema for the sake of the

View File

@@ -25,14 +25,11 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use std::sync::{Arc, RwLock};
use std::thread;
use std::time::Duration;
use tantivy::schema::{Schema, STORED, TEXT};
use tantivy::Opstamp;
use tantivy::{Index, IndexWriter};
use tantivy::{doc, Index, IndexWriter, Opstamp};
fn main() -> tantivy::Result<()> {
// # Defining the schema
@@ -49,10 +46,9 @@ fn main() -> tantivy::Result<()> {
thread::spawn(move || {
// we index 100 times the document... for the sake of the example.
for i in 0..100 {
let opstamp = {
// A read lock is sufficient here.
let index_writer_rlock = index_writer_clone_1.read().unwrap();
index_writer_rlock.add_document(
let opstamp = index_writer_clone_1
.read().unwrap() //< A read lock is sufficient here.
.add_document(
doc!(
title => "Of Mice and Men",
body => "A few miles south of Soledad, the Salinas River drops in close to the hillside \
@@ -63,8 +59,7 @@ fn main() -> tantivy::Result<()> {
fresh and green with every spring, carrying in their lower leaf junctures the \
debris of the winters flooding; and sycamores with mottled, white, recumbent \
limbs and branches that arch over the pool"
))
};
));
println!("add doc {} from thread 1 - opstamp {}", i, opstamp);
thread::sleep(Duration::from_millis(20));
}

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@@ -7,13 +7,10 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::Index;
use tantivy::{Snippet, SnippetGenerator};
use tantivy::{doc, Index, Snippet, SnippetGenerator};
use tempfile::TempDir;
fn main() -> tantivy::Result<()> {

View File

@@ -11,13 +11,11 @@
// ---
// Importing tantivy...
#[macro_use]
extern crate tantivy;
use tantivy::collector::TopDocs;
use tantivy::query::QueryParser;
use tantivy::schema::*;
use tantivy::tokenizer::*;
use tantivy::Index;
use tantivy::{doc, Index};
fn main() -> tantivy::Result<()> {
// this example assumes you understand the content in `basic_search`

View File

@@ -0,0 +1,10 @@
[package]
name = "incremental-search"
version = "0.11.0"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
edition = "2018"
[dependencies]
derive_builder = "0.7"
tantivy = {path = ".."}

View File

@@ -0,0 +1,395 @@
use std::fmt;
use std::u64;
#[derive(Clone, Copy, Eq, PartialEq)]
pub(crate) struct TinySet(u64);
impl fmt::Debug for TinySet {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
self.into_iter().collect::<Vec<u32>>().fmt(f)
}
}
pub struct TinySetIterator(TinySet);
impl Iterator for TinySetIterator {
type Item = u32;
fn next(&mut self) -> Option<Self::Item> {
self.0.pop_lowest()
}
}
impl IntoIterator for TinySet {
type Item = u32;
type IntoIter = TinySetIterator;
fn into_iter(self) -> Self::IntoIter {
TinySetIterator(self)
}
}
impl TinySet {
/// Returns an empty `TinySet`.
pub fn empty() -> TinySet {
TinySet(0u64)
}
/// Returns the complement of the set in `[0, 64[`.
fn complement(self) -> TinySet {
TinySet(!self.0)
}
/// Returns true iff the `TinySet` contains the element `el`.
pub fn contains(self, el: u32) -> bool {
!self.intersect(TinySet::singleton(el)).is_empty()
}
/// Returns the intersection of `self` and `other`
pub fn intersect(self, other: TinySet) -> TinySet {
TinySet(self.0 & other.0)
}
/// Creates a new `TinySet` containing only one element
/// within `[0; 64[`
#[inline(always)]
pub fn singleton(el: u32) -> TinySet {
TinySet(1u64 << u64::from(el))
}
/// Insert a new element within [0..64[
#[inline(always)]
pub fn insert(self, el: u32) -> TinySet {
self.union(TinySet::singleton(el))
}
/// Insert a new element within [0..64[
#[inline(always)]
pub fn insert_mut(&mut self, el: u32) -> bool {
let old = *self;
*self = old.insert(el);
old != *self
}
/// Returns the union of two tinysets
#[inline(always)]
pub fn union(self, other: TinySet) -> TinySet {
TinySet(self.0 | other.0)
}
/// Returns true iff the `TinySet` is empty.
#[inline(always)]
pub fn is_empty(self) -> bool {
self.0 == 0u64
}
/// Returns the lowest element in the `TinySet`
/// and removes it.
#[inline(always)]
pub fn pop_lowest(&mut self) -> Option<u32> {
if self.is_empty() {
None
} else {
let lowest = self.0.trailing_zeros() as u32;
self.0 ^= TinySet::singleton(lowest).0;
Some(lowest)
}
}
/// Returns a `TinySet` than contains all values up
/// to limit excluded.
///
/// The limit is assumed to be strictly lower than 64.
pub fn range_lower(upper_bound: u32) -> TinySet {
TinySet((1u64 << u64::from(upper_bound % 64u32)) - 1u64)
}
/// Returns a `TinySet` that contains all values greater
/// or equal to the given limit, included. (and up to 63)
///
/// The limit is assumed to be strictly lower than 64.
pub fn range_greater_or_equal(from_included: u32) -> TinySet {
TinySet::range_lower(from_included).complement()
}
pub fn clear(&mut self) {
self.0 = 0u64;
}
pub fn len(self) -> u32 {
self.0.count_ones()
}
}
#[derive(Clone)]
pub struct BitSet {
tinysets: Box<[TinySet]>,
len: usize, //< Technically it should be u32, but we
// count multiple inserts.
// `usize` guards us from overflow.
max_value: u32,
}
fn num_buckets(max_val: u32) -> u32 {
(max_val + 63u32) / 64u32
}
impl BitSet {
/// Create a new `BitSet` that may contain elements
/// within `[0, max_val[`.
pub fn with_max_value(max_value: u32) -> BitSet {
let num_buckets = num_buckets(max_value);
let tinybisets = vec![TinySet::empty(); num_buckets as usize].into_boxed_slice();
BitSet {
tinysets: tinybisets,
len: 0,
max_value,
}
}
/// Removes all elements from the `BitSet`.
pub fn clear(&mut self) {
for tinyset in self.tinysets.iter_mut() {
*tinyset = TinySet::empty();
}
}
/// Returns the number of elements in the `BitSet`.
pub fn len(&self) -> usize {
self.len
}
/// Inserts an element in the `BitSet`
pub fn insert(&mut self, el: u32) {
// we do not check saturated els.
let higher = el / 64u32;
let lower = el % 64u32;
self.len += if self.tinysets[higher as usize].insert_mut(lower) {
1
} else {
0
};
}
/// Returns true iff the elements is in the `BitSet`.
pub fn contains(&self, el: u32) -> bool {
self.tinyset(el / 64u32).contains(el % 64)
}
/// Returns the first non-empty `TinySet` associated to a bucket lower
/// or greater than bucket.
///
/// Reminder: the tiny set with the bucket `bucket`, represents the
/// elements from `bucket * 64` to `(bucket+1) * 64`.
pub(crate) fn first_non_empty_bucket(&self, bucket: u32) -> Option<u32> {
self.tinysets[bucket as usize..]
.iter()
.cloned()
.position(|tinyset| !tinyset.is_empty())
.map(|delta_bucket| bucket + delta_bucket as u32)
}
pub fn max_value(&self) -> u32 {
self.max_value
}
/// Returns the tiny bitset representing the
/// the set restricted to the number range from
/// `bucket * 64` to `(bucket + 1) * 64`.
pub(crate) fn tinyset(&self, bucket: u32) -> TinySet {
self.tinysets[bucket as usize]
}
}
#[cfg(test)]
mod tests {
use super::BitSet;
use super::TinySet;
use crate::docset::DocSet;
use crate::query::BitSetDocSet;
use crate::tests;
use crate::tests::generate_nonunique_unsorted;
use std::collections::BTreeSet;
use std::collections::HashSet;
#[test]
fn test_tiny_set() {
assert!(TinySet::empty().is_empty());
{
let mut u = TinySet::empty().insert(1u32);
assert_eq!(u.pop_lowest(), Some(1u32));
assert!(u.pop_lowest().is_none())
}
{
let mut u = TinySet::empty().insert(1u32).insert(1u32);
assert_eq!(u.pop_lowest(), Some(1u32));
assert!(u.pop_lowest().is_none())
}
{
let mut u = TinySet::empty().insert(2u32);
assert_eq!(u.pop_lowest(), Some(2u32));
u.insert_mut(1u32);
assert_eq!(u.pop_lowest(), Some(1u32));
assert!(u.pop_lowest().is_none());
}
{
let mut u = TinySet::empty().insert(63u32);
assert_eq!(u.pop_lowest(), Some(63u32));
assert!(u.pop_lowest().is_none());
}
}
#[test]
fn test_bitset() {
let test_against_hashset = |els: &[u32], max_value: u32| {
let mut hashset: HashSet<u32> = HashSet::new();
let mut bitset = BitSet::with_max_value(max_value);
for &el in els {
assert!(el < max_value);
hashset.insert(el);
bitset.insert(el);
}
for el in 0..max_value {
assert_eq!(hashset.contains(&el), bitset.contains(el));
}
assert_eq!(bitset.max_value(), max_value);
};
test_against_hashset(&[], 0);
test_against_hashset(&[], 1);
test_against_hashset(&[0u32], 1);
test_against_hashset(&[0u32], 100);
test_against_hashset(&[1u32, 2u32], 4);
test_against_hashset(&[99u32], 100);
test_against_hashset(&[63u32], 64);
test_against_hashset(&[62u32, 63u32], 64);
}
#[test]
fn test_bitset_large() {
let arr = generate_nonunique_unsorted(100_000, 5_000);
let mut btreeset: BTreeSet<u32> = BTreeSet::new();
let mut bitset = BitSet::with_max_value(100_000);
for el in arr {
btreeset.insert(el);
bitset.insert(el);
}
for i in 0..100_000 {
assert_eq!(btreeset.contains(&i), bitset.contains(i));
}
assert_eq!(btreeset.len(), bitset.len());
let mut bitset_docset = BitSetDocSet::from(bitset);
for el in btreeset.into_iter() {
bitset_docset.advance();
assert_eq!(bitset_docset.doc(), el);
}
assert!(!bitset_docset.advance());
}
#[test]
fn test_bitset_num_buckets() {
use super::num_buckets;
assert_eq!(num_buckets(0u32), 0);
assert_eq!(num_buckets(1u32), 1);
assert_eq!(num_buckets(64u32), 1);
assert_eq!(num_buckets(65u32), 2);
assert_eq!(num_buckets(128u32), 2);
assert_eq!(num_buckets(129u32), 3);
}
#[test]
fn test_tinyset_range() {
assert_eq!(
TinySet::range_lower(3).into_iter().collect::<Vec<u32>>(),
[0, 1, 2]
);
assert!(TinySet::range_lower(0).is_empty());
assert_eq!(
TinySet::range_lower(63).into_iter().collect::<Vec<u32>>(),
(0u32..63u32).collect::<Vec<_>>()
);
assert_eq!(
TinySet::range_lower(1).into_iter().collect::<Vec<u32>>(),
[0]
);
assert_eq!(
TinySet::range_lower(2).into_iter().collect::<Vec<u32>>(),
[0, 1]
);
assert_eq!(
TinySet::range_greater_or_equal(3)
.into_iter()
.collect::<Vec<u32>>(),
(3u32..64u32).collect::<Vec<_>>()
);
}
#[test]
fn test_bitset_len() {
let mut bitset = BitSet::with_max_value(1_000);
assert_eq!(bitset.len(), 0);
bitset.insert(3u32);
assert_eq!(bitset.len(), 1);
bitset.insert(103u32);
assert_eq!(bitset.len(), 2);
bitset.insert(3u32);
assert_eq!(bitset.len(), 2);
bitset.insert(103u32);
assert_eq!(bitset.len(), 2);
bitset.insert(104u32);
assert_eq!(bitset.len(), 3);
}
#[test]
fn test_bitset_clear() {
let mut bitset = BitSet::with_max_value(1_000);
let els = tests::sample(1_000, 0.01f64);
for &el in &els {
bitset.insert(el);
}
assert!(els.iter().all(|el| bitset.contains(*el)));
bitset.clear();
for el in 0u32..1000u32 {
assert!(!bitset.contains(el));
}
}
}
#[cfg(all(test, feature = "unstable"))]
mod bench {
use super::BitSet;
use super::TinySet;
use test;
#[bench]
fn bench_tinyset_pop(b: &mut test::Bencher) {
b.iter(|| {
let mut tinyset = TinySet::singleton(test::black_box(31u32));
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
tinyset.pop_lowest();
});
}
#[bench]
fn bench_tinyset_sum(b: &mut test::Bencher) {
let tiny_set = TinySet::empty().insert(10u32).insert(14u32).insert(21u32);
b.iter(|| {
assert_eq!(test::black_box(tiny_set).into_iter().sum::<u32>(), 45u32);
});
}
#[bench]
fn bench_tinyarr_sum(b: &mut test::Bencher) {
let v = [10u32, 14u32, 21u32];
b.iter(|| test::black_box(v).iter().cloned().sum::<u32>());
}
#[bench]
fn bench_bitset_initialize(b: &mut test::Bencher) {
b.iter(|| BitSet::with_max_value(1_000_000));
}
}

View File

@@ -0,0 +1,266 @@
use tantivy::query::{BooleanQuery, FuzzyTermQuery, EmptyQuery};
use derive_builder::Builder;
use std::str::FromStr;
use tantivy::query::{FuzzyConfiguration, FuzzyConfigurationBuilder, Query, Occur};
use tantivy::schema::Field;
use tantivy::{Searcher, TantivyError, DocAddress, Term, Document};
use tantivy::collector::TopDocs;
use std::ops::Deref;
#[derive(Debug)]
pub struct IncrementalSearchQuery {
pub terms: Vec<String>,
pub last_is_prefix: bool,
}
impl IncrementalSearchQuery {
pub fn fuzzy_configurations(&self) -> Vec<FuzzyConfigurations> {
if self.terms.is_empty() {
return Vec::default();
}
let single_term_confs: Vec<FuzzyConfigurationBuilder> = (0u8..3u8)
.map(|d: u8| {
let mut builder = FuzzyConfigurationBuilder::default();
builder.distance(d).transposition_cost_one(true);
builder
})
.collect();
let mut configurations: Vec<Vec<FuzzyConfigurationBuilder>> = single_term_confs
.iter()
.map(|conf| vec![conf.clone()])
.collect();
let mut new_configurations = Vec::new();
for _ in 1..self.terms.len() {
new_configurations.clear();
for single_term_conf in &single_term_confs {
for configuration in &configurations {
let mut new_configuration: Vec<FuzzyConfigurationBuilder> = configuration.clone();
new_configuration.push(single_term_conf.clone());
new_configurations.push(new_configuration);
}
}
std::mem::swap(&mut configurations, &mut new_configurations);
}
if self.last_is_prefix {
for configuration in &mut configurations {
if let Some(last_conf) = configuration.last_mut() {
last_conf.prefix(true);
}
}
}
let mut fuzzy_configurations: Vec<FuzzyConfigurations> = configurations
.into_iter()
.map(FuzzyConfigurations::from)
.collect();
fuzzy_configurations.sort_by(|left, right| left.cost.partial_cmp(&right.cost).unwrap());
fuzzy_configurations
}
fn search_query(&self, fields: &[Field], configurations: FuzzyConfigurations) -> Box<dyn Query> {
if self.terms.is_empty() {
Box::new(EmptyQuery)
} else if self.terms.len() == 1 {
build_query_for_fields(fields, &self.terms[0], &configurations.configurations[0])
} else {
Box::new(BooleanQuery::from(self.terms.iter()
.zip(configurations.configurations.iter())
.map(|(term, configuration)|
(Occur::Must, build_query_for_fields(fields, &term, &configuration))
)
.collect::<Vec<_>>()))
}
}
}
#[derive(Debug)]
pub struct FuzzyConfigurations {
configurations: Vec<FuzzyConfiguration>,
cost: f64,
}
fn compute_cost(fuzzy_confs: &[FuzzyConfiguration]) -> f64 {
fuzzy_confs
.iter()
.map(|fuzzy_conf| {
let weight = if fuzzy_conf.prefix { 30f64 } else { 5f64 };
weight * f64::from(fuzzy_conf.distance)
})
.sum()
}
impl From<Vec<FuzzyConfigurationBuilder>> for FuzzyConfigurations {
fn from(fuzzy_conf_builder: Vec<FuzzyConfigurationBuilder>) -> FuzzyConfigurations {
let configurations = fuzzy_conf_builder
.into_iter()
.map(|conf| conf.build().unwrap())
.collect::<Vec<FuzzyConfiguration>>();
let cost = compute_cost(&configurations);
FuzzyConfigurations {
configurations,
cost,
}
}
}
#[derive(Debug)]
pub struct ParseIncrementalQueryError;
impl Into<TantivyError> for ParseIncrementalQueryError {
fn into(self) -> TantivyError {
TantivyError::InvalidArgument(format!("Invalid query: {:?}", self))
}
}
impl FromStr for IncrementalSearchQuery {
type Err = ParseIncrementalQueryError;
fn from_str(query_str: &str) -> Result<Self, Self::Err> {
let terms: Vec<String> = query_str
.split_whitespace()
.map(ToString::to_string)
.collect();
Ok(IncrementalSearchQuery {
terms,
last_is_prefix: query_str
.chars()
.last()
.map(|c| !c.is_whitespace())
.unwrap_or(false),
})
}
}
fn build_query_for_fields(fields: &[Field], term_text: &str, conf: &FuzzyConfiguration) -> Box<dyn Query> {
assert!(fields.len() > 0);
if fields.len() > 1 {
let term_queries: Vec<(Occur, Box<dyn Query>)> = fields
.iter()
.map(|&field| {
let term = Term::from_field_text(field, term_text);
let query = FuzzyTermQuery::new_from_configuration(term, conf.clone());
let boxed_query: Box<dyn Query> = Box::new(query);
(Occur::Must, boxed_query)
})
.collect();
Box::new(BooleanQuery::from(term_queries))
} else {
let term = Term::from_field_text(fields[0], term_text);
Box::new( FuzzyTermQuery::new_from_configuration(term, conf.clone()))
}
}
pub struct IncrementalSearchResult {
pub docs: Vec<Document>
}
#[derive(Builder, Default)]
pub struct IncrementalSearch {
nhits: usize,
#[builder(default)]
search_fields: Vec<Field>,
#[builder(default)]
return_fields: Vec<Field>,
}
impl IncrementalSearch {
pub fn search<S: Deref<Target=Searcher>>(
&self,
query: &str,
searcher: &S,
) -> tantivy::Result<IncrementalSearchResult> {
let searcher = searcher.deref();
let inc_search_query: IncrementalSearchQuery =
FromStr::from_str(query).map_err(Into::<TantivyError>::into)?;
let mut results: Vec<DocAddress> = Vec::default();
let mut remaining = self.nhits;
for fuzzy_conf in inc_search_query.fuzzy_configurations() {
if remaining == 0 {
break;
}
let query = inc_search_query.search_query(&self.search_fields[..], fuzzy_conf);
let new_docs = searcher.search(query.as_ref(), &TopDocs::with_limit(remaining))?;
// TODO(pmasurel) remove already added docs.
results.extend(new_docs.into_iter()
.map(|(_, doc_address)| doc_address));
remaining = self.nhits - results.len();
if remaining == 0 {
break;
}
}
let docs: Vec<Document> = results.into_iter()
.map(|doc_address: DocAddress| searcher.doc(doc_address))
.collect::<tantivy::Result<_>>()?;
Ok(IncrementalSearchResult {
docs
})
}
}
#[cfg(test)]
mod tests {
use tantivy::doc;
use crate::{IncrementalSearch, IncrementalSearchBuilder, IncrementalSearchQuery};
use std::str::FromStr;
use tantivy::schema::{SchemaBuilder, TEXT, STORED};
use tantivy::Index;
#[test]
fn test_incremental_search() {
let incremental_search = IncrementalSearchBuilder::default()
.nhits(10)
.build()
.unwrap();
}
#[test]
fn test_incremental_search_query_parse_empty() {
let query = IncrementalSearchQuery::from_str("").unwrap();
assert_eq!(query.terms, Vec::<String>::new());
assert!(!query.last_is_prefix);
}
#[test]
fn test_incremental_search_query_parse_trailing_whitespace() {
let query = IncrementalSearchQuery::from_str("hello happy tax pa ").unwrap();
assert_eq!(query.terms, vec!["hello", "happy", "tax", "pa"]);
assert!(!query.last_is_prefix);
}
#[test]
fn test_incremental_search_query_parse_unicode_whitespace() {
let query = IncrementalSearchQuery::from_str("hello happy tax pa ").unwrap();
assert_eq!(query.terms, vec!["hello", "happy", "tax", "pa"]);
assert!(!query.last_is_prefix);
}
#[test]
fn test_incremental_search_query_parse() {
let query = IncrementalSearchQuery::from_str("hello happy tax pa").unwrap();
assert_eq!(query.terms, vec!["hello", "happy", "tax", "pa"]);
assert!(query.last_is_prefix);
}
#[test]
fn test_blop() {
let mut schema_builder = SchemaBuilder::new();
let body = schema_builder.add_text_field("body", TEXT | STORED);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer = index.writer_with_num_threads(1, 30_000_000).unwrap();
index_writer.add_document(doc!(body=> "hello happy tax payer"));
index_writer.commit().unwrap();
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let incremental_search: IncrementalSearch = IncrementalSearchBuilder::default()
.nhits(1)
.search_fields(vec![body])
.build()
.unwrap();
let top_docs = incremental_search.search("hello hapy t", &searcher).unwrap();
assert_eq!(top_docs.docs.len(), 1);
}
}

16
query-grammar/Cargo.toml Normal file
View File

@@ -0,0 +1,16 @@
[package]
name = "tantivy-query-grammar"
version = "0.11.0"
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
license = "MIT"
categories = ["database-implementations", "data-structures"]
description = """Search engine library"""
documentation = "https://tantivy-search.github.io/tantivy/tantivy/index.html"
homepage = "https://github.com/tantivy-search/tantivy"
repository = "https://github.com/tantivy-search/tantivy"
readme = "README.md"
keywords = ["search", "information", "retrieval"]
edition = "2018"
[dependencies]
combine = ">=3.6.0,<4.0.0"

17
query-grammar/src/lib.rs Normal file
View File

@@ -0,0 +1,17 @@
#![recursion_limit = "100"]
mod occur;
mod query_grammar;
mod user_input_ast;
use combine::parser::Parser;
pub use crate::occur::Occur;
use crate::query_grammar::parse_to_ast;
pub use crate::user_input_ast::{UserInputAST, UserInputBound, UserInputLeaf, UserInputLiteral};
pub struct Error;
pub fn parse_query(query: &str) -> Result<UserInputAST, Error> {
let (user_input_ast, _remaining) = parse_to_ast().parse(query).map_err(|_| Error)?;
Ok(user_input_ast)
}

View File

@@ -25,24 +25,24 @@ impl Occur {
Occur::MustNot => '-',
}
}
}
/// Compose two occur values.
pub fn compose_occur(left: Occur, right: Occur) -> Occur {
match left {
Occur::Should => right,
Occur::Must => {
if right == Occur::MustNot {
Occur::MustNot
} else {
Occur::Must
/// Compose two occur values.
pub fn compose(left: Occur, right: Occur) -> Occur {
match left {
Occur::Should => right,
Occur::Must => {
if right == Occur::MustNot {
Occur::MustNot
} else {
Occur::Must
}
}
}
Occur::MustNot => {
if right == Occur::MustNot {
Occur::Must
} else {
Occur::MustNot
Occur::MustNot => {
if right == Occur::MustNot {
Occur::Must
} else {
Occur::MustNot
}
}
}
}

View File

@@ -1,6 +1,5 @@
use super::user_input_ast::*;
use crate::query::occur::Occur;
use crate::query::query_parser::user_input_ast::UserInputBound;
use crate::Occur;
use combine::char::*;
use combine::error::StreamError;
use combine::stream::StreamErrorFor;
@@ -83,28 +82,67 @@ parser! {
}
parser! {
/// Function that parses a range out of a Stream
/// Supports ranges like:
/// [5 TO 10], {5 TO 10}, [* TO 10], [10 TO *], {10 TO *], >5, <=10
/// [a TO *], [a TO c], [abc TO bcd}
fn range[I]()(I) -> UserInputLeaf
where [I: Stream<Item = char>] {
let range_term_val = || {
word().or(negative_number()).or(char('*').with(value("*".to_string())))
};
// check for unbounded range in the form of <5, <=10, >5, >=5
let elastic_unbounded_range = (choice([attempt(string(">=")),
attempt(string("<=")),
attempt(string("<")),
attempt(string(">"))])
.skip(spaces()),
range_term_val()).
map(|(comparison_sign, bound): (&str, String)|
match comparison_sign {
">=" => (UserInputBound::Inclusive(bound), UserInputBound::Unbounded),
"<=" => (UserInputBound::Unbounded, UserInputBound::Inclusive(bound)),
"<" => (UserInputBound::Unbounded, UserInputBound::Exclusive(bound)),
">" => (UserInputBound::Exclusive(bound), UserInputBound::Unbounded),
// default case
_ => (UserInputBound::Unbounded, UserInputBound::Unbounded)
});
let lower_bound = (one_of("{[".chars()), range_term_val())
.map(|(boundary_char, lower_bound): (char, String)|
if boundary_char == '{' { UserInputBound::Exclusive(lower_bound) }
else { UserInputBound::Inclusive(lower_bound) });
if lower_bound == "*" {
UserInputBound::Unbounded
} else if boundary_char == '{' {
UserInputBound::Exclusive(lower_bound)
} else {
UserInputBound::Inclusive(lower_bound)
});
let upper_bound = (range_term_val(), one_of("}]".chars()))
.map(|(higher_bound, boundary_char): (String, char)|
if boundary_char == '}' { UserInputBound::Exclusive(higher_bound) }
else { UserInputBound::Inclusive(higher_bound) });
(
optional(field()),
lower_bound
.skip((spaces(), string("TO"), spaces())),
upper_bound,
).map(|(field, lower, upper)| UserInputLeaf::Range {
field,
lower,
upper
if higher_bound == "*" {
UserInputBound::Unbounded
} else if boundary_char == '}' {
UserInputBound::Exclusive(higher_bound)
} else {
UserInputBound::Inclusive(higher_bound)
});
// return only lower and upper
let lower_to_upper = (lower_bound.
skip((spaces(),
string("TO"),
spaces())),
upper_bound);
(optional(field()).skip(spaces()),
// try elastic first, if it matches, the range is unbounded
attempt(elastic_unbounded_range).or(lower_to_upper))
.map(|(field, (lower, upper))|
// Construct the leaf from extracted field (optional)
// and bounds
UserInputLeaf::Range {
field,
lower,
upper
})
}
}
@@ -258,6 +296,49 @@ mod test {
);
}
#[test]
fn test_parse_elastic_query_ranges() {
test_parse_query_to_ast_helper("title: >a", "title:{\"a\" TO \"*\"}");
test_parse_query_to_ast_helper("title:>=a", "title:[\"a\" TO \"*\"}");
test_parse_query_to_ast_helper("title: <a", "title:{\"*\" TO \"a\"}");
test_parse_query_to_ast_helper("title:<=a", "title:{\"*\" TO \"a\"]");
test_parse_query_to_ast_helper("title:<=bsd", "title:{\"*\" TO \"bsd\"]");
test_parse_query_to_ast_helper("weight: >70", "weight:{\"70\" TO \"*\"}");
test_parse_query_to_ast_helper("weight:>=70", "weight:[\"70\" TO \"*\"}");
test_parse_query_to_ast_helper("weight: <70", "weight:{\"*\" TO \"70\"}");
test_parse_query_to_ast_helper("weight:<=70", "weight:{\"*\" TO \"70\"]");
test_parse_query_to_ast_helper("weight: >60.7", "weight:{\"60.7\" TO \"*\"}");
test_parse_query_to_ast_helper("weight: <= 70", "weight:{\"*\" TO \"70\"]");
test_parse_query_to_ast_helper("weight: <= 70.5", "weight:{\"*\" TO \"70.5\"]");
}
#[test]
fn test_range_parser() {
// testing the range() parser separately
let res = range().parse("title: <hello").unwrap().0;
let expected = UserInputLeaf::Range {
field: Some("title".to_string()),
lower: UserInputBound::Unbounded,
upper: UserInputBound::Exclusive("hello".to_string()),
};
let res2 = range().parse("title:{* TO hello}").unwrap().0;
assert_eq!(res, expected);
assert_eq!(res2, expected);
let expected_weight = UserInputLeaf::Range {
field: Some("weight".to_string()),
lower: UserInputBound::Inclusive("71.2".to_string()),
upper: UserInputBound::Unbounded,
};
let res3 = range().parse("weight: >=71.2").unwrap().0;
let res4 = range().parse("weight:[71.2 TO *}").unwrap().0;
assert_eq!(res3, expected_weight);
assert_eq!(res4, expected_weight);
}
#[test]
fn test_parse_query_to_triming_spaces() {
test_parse_query_to_ast_helper(" abc", "\"abc\"");
@@ -291,7 +372,7 @@ mod test {
test_parse_query_to_ast_helper("[1 TO 5]", "[\"1\" TO \"5\"]");
test_parse_query_to_ast_helper("foo:{a TO z}", "foo:{\"a\" TO \"z\"}");
test_parse_query_to_ast_helper("foo:[1 TO toto}", "foo:[\"1\" TO \"toto\"}");
test_parse_query_to_ast_helper("foo:[* TO toto}", "foo:[\"*\" TO \"toto\"}");
test_parse_query_to_ast_helper("foo:[* TO toto}", "foo:{\"*\" TO \"toto\"}");
test_parse_query_to_ast_helper("foo:[1 TO *}", "foo:[\"1\" TO \"*\"}");
test_parse_query_to_ast_helper("foo:[1.1 TO *}", "foo:[\"1.1\" TO \"*\"}");
test_is_parse_err("abc + ");

View File

@@ -1,8 +1,9 @@
use std::fmt;
use std::fmt::{Debug, Formatter};
use crate::query::Occur;
use crate::Occur;
#[derive(PartialEq)]
pub enum UserInputLeaf {
Literal(UserInputLiteral),
All,
@@ -35,6 +36,7 @@ impl Debug for UserInputLeaf {
}
}
#[derive(PartialEq)]
pub struct UserInputLiteral {
pub field_name: Option<String>,
pub phrase: String,
@@ -49,9 +51,11 @@ impl fmt::Debug for UserInputLiteral {
}
}
#[derive(PartialEq)]
pub enum UserInputBound {
Inclusive(String),
Exclusive(String),
Unbounded,
}
impl UserInputBound {
@@ -59,6 +63,7 @@ impl UserInputBound {
match *self {
UserInputBound::Inclusive(ref word) => write!(formatter, "[\"{}\"", word),
UserInputBound::Exclusive(ref word) => write!(formatter, "{{\"{}\"", word),
UserInputBound::Unbounded => write!(formatter, "{{\"*\""),
}
}
@@ -66,6 +71,7 @@ impl UserInputBound {
match *self {
UserInputBound::Inclusive(ref word) => write!(formatter, "\"{}\"]", word),
UserInputBound::Exclusive(ref word) => write!(formatter, "\"{}\"}}", word),
UserInputBound::Unbounded => write!(formatter, "\"*\"}}"),
}
}
@@ -73,6 +79,7 @@ impl UserInputBound {
match *self {
UserInputBound::Inclusive(ref contents) => contents,
UserInputBound::Exclusive(ref contents) => contents,
UserInputBound::Unbounded => &"*",
}
}
}

View File

@@ -10,12 +10,10 @@ use crate::SegmentReader;
/// documents match the query.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::Count;
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

View File

@@ -81,12 +81,10 @@ fn facet_depth(facet_bytes: &[u8]) -> usize {
///
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Facet, Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::FacetCollector;
/// use tantivy::query::AllQuery;
/// use tantivy::schema::{Facet, Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

View File

@@ -35,7 +35,6 @@ The resulting `Fruit` will then be a typed tuple with each collector's original
in their respective position.
```rust
# extern crate tantivy;
# use tantivy::schema::*;
# use tantivy::*;
# use tantivy::query::*;

View File

@@ -105,12 +105,10 @@ impl<TFruit: Fruit> FruitHandle<TFruit> {
/// [Combining several collectors section of the collector documentation](./index.html#combining-several-collectors).
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::{Count, TopDocs, MultiCollector};
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {

View File

@@ -23,13 +23,10 @@ use std::fmt;
/// is `O(n log K)`.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::DocAddress;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result};
/// use tantivy::collector::TopDocs;
/// use tantivy::query::QueryParser;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, DocAddress, Index, Result};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -87,10 +84,8 @@ impl TopDocs {
/// Set top-K to rank documents by a given fast field.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{Index, Result, DocAddress};
/// # use tantivy::{doc, Index, Result, DocAddress};
/// # use tantivy::query::{Query, QueryParser};
/// use tantivy::Searcher;
/// use tantivy::collector::TopDocs;
@@ -128,7 +123,7 @@ impl TopDocs {
/// ///
/// /// `field` is required to be a FAST field.
/// fn docs_sorted_by_rating(searcher: &Searcher,
/// query: &Query,
/// query: &dyn Query,
/// sort_by_field: Field)
/// -> Result<Vec<(u64, DocAddress)>> {
///
@@ -197,10 +192,8 @@ impl TopDocs {
/// learning-to-rank model over various features
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{Index, DocAddress, DocId, Score};
/// # use tantivy::{doc, Index, DocAddress, DocId, Score};
/// # use tantivy::query::QueryParser;
/// use tantivy::SegmentReader;
/// use tantivy::collector::TopDocs;
@@ -302,10 +295,8 @@ impl TopDocs {
/// # Example
///
/// ```rust
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::schema::{Schema, FAST, TEXT};
/// # use tantivy::{Index, DocAddress, DocId};
/// # use tantivy::{doc, Index, DocAddress, DocId};
/// # use tantivy::query::QueryParser;
/// use tantivy::SegmentReader;
/// use tantivy::collector::TopDocs;

View File

@@ -173,11 +173,11 @@ impl Index {
}
/// Helper to access the tokenizer associated to a specific field.
pub fn tokenizer_for_field(&self, field: Field) -> Result<Box<dyn BoxedTokenizer>> {
pub fn tokenizer_for_field(&self, field: Field) -> Result<BoxedTokenizer> {
let field_entry = self.schema.get_field_entry(field);
let field_type = field_entry.field_type();
let tokenizer_manager: &TokenizerManager = self.tokenizers();
let tokenizer_name_opt: Option<Box<dyn BoxedTokenizer>> = match field_type {
let tokenizer_name_opt: Option<BoxedTokenizer> = match field_type {
FieldType::Str(text_options) => text_options
.get_indexing_options()
.map(|text_indexing_options| text_indexing_options.tokenizer().to_string())
@@ -216,8 +216,22 @@ impl Index {
Index::open(mmap_directory)
}
pub(crate) fn inventory(&self) -> &SegmentMetaInventory {
&self.inventory
/// Returns the list of the segment metas tracked by the index.
///
/// Such segments can of course be part of the index,
/// but also they could be segments being currently built or in the middle of a merge
/// operation.
pub fn list_all_segment_metas(&self) -> Vec<SegmentMeta> {
self.inventory.all()
}
/// Creates a new segment_meta (Advanced user only).
///
/// As long as the `SegmentMeta` lives, the files associated with the
/// `SegmentMeta` are guaranteed to not be garbage collected, regardless of
/// whether the segment is recorded as part of the index or not.
pub fn new_segment_meta(&self, segment_id: SegmentId, max_doc: u32) -> SegmentMeta {
self.inventory.new_segment_meta(segment_id, max_doc)
}
/// Open the index using the provided directory

View File

@@ -30,7 +30,6 @@ impl SegmentMetaInventory {
.collect::<Vec<_>>()
}
#[doc(hidden)]
pub fn new_segment_meta(&self, segment_id: SegmentId, max_doc: u32) -> SegmentMeta {
let inner = InnerSegmentMeta {
segment_id,

View File

@@ -4,6 +4,8 @@ use uuid::Uuid;
#[cfg(test)]
use once_cell::sync::Lazy;
use std::error::Error;
use std::str::FromStr;
#[cfg(test)]
use std::sync::atomic;
@@ -52,15 +54,51 @@ impl SegmentId {
/// and the rest is random.
///
/// Picking the first 8 chars is ok to identify
/// segments in a display message.
/// segments in a display message (e.g. a5c4dfcb).
pub fn short_uuid_string(&self) -> String {
(&self.0.to_simple_ref().to_string()[..8]).to_string()
}
/// Returns a segment uuid string.
///
/// It consists in 32 lowercase hexadecimal chars
/// (e.g. a5c4dfcbdfe645089129e308e26d5523)
pub fn uuid_string(&self) -> String {
self.0.to_simple_ref().to_string()
}
/// Build a `SegmentId` string from the full uuid string.
///
/// E.g. "a5c4dfcbdfe645089129e308e26d5523"
pub fn from_uuid_string(uuid_string: &str) -> Result<SegmentId, SegmentIdParseError> {
FromStr::from_str(uuid_string)
}
}
/// Error type used when parsing a `SegmentId` from a string fails.
pub struct SegmentIdParseError(uuid::parser::ParseError);
impl Error for SegmentIdParseError {}
impl fmt::Debug for SegmentIdParseError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
self.0.fmt(f)
}
}
impl fmt::Display for SegmentIdParseError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
self.0.fmt(f)
}
}
impl FromStr for SegmentId {
type Err = SegmentIdParseError;
fn from_str(uuid_string: &str) -> Result<Self, SegmentIdParseError> {
let uuid = Uuid::parse_str(uuid_string).map_err(SegmentIdParseError)?;
Ok(SegmentId(uuid))
}
}
impl fmt::Debug for SegmentId {
@@ -80,3 +118,18 @@ impl Ord for SegmentId {
self.0.as_bytes().cmp(other.0.as_bytes())
}
}
#[cfg(test)]
mod tests {
use super::SegmentId;
#[test]
fn test_to_uuid_string() {
let full_uuid = "a5c4dfcbdfe645089129e308e26d5523";
let segment_id = SegmentId::from_uuid_string(full_uuid).unwrap();
assert_eq!(segment_id.uuid_string(), full_uuid);
assert_eq!(segment_id.short_uuid_string(), "a5c4dfcb");
// one extra char
assert!(SegmentId::from_uuid_string("a5c4dfcbdfe645089129e308e26d5523b").is_err());
}
}

View File

@@ -209,10 +209,7 @@ fn index_documents(
assert!(num_docs > 0);
let doc_opstamps: Vec<Opstamp> = segment_writer.finalize()?;
let segment_meta = segment
.index()
.inventory()
.new_segment_meta(segment_id, num_docs);
let segment_meta = segment.index().new_segment_meta(segment_id, num_docs);
let last_docstamp: Opstamp = *(doc_opstamps.last().unwrap());
@@ -450,12 +447,10 @@ impl IndexWriter {
/// by clearing and resubmitting necessary documents
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::query::QueryParser;
/// use tantivy::collector::TopDocs;
/// use tantivy::query::QueryParser;
/// use tantivy::schema::*;
/// use tantivy::Index;
/// use tantivy::{doc, Index};
///
/// fn main() -> tantivy::Result<()> {
/// let mut schema_builder = Schema::builder();

View File

@@ -126,9 +126,7 @@ fn perform_merge(
let num_docs = merger.write(segment_serializer)?;
let segment_meta = index
.inventory()
.new_segment_meta(merged_segment.id(), num_docs);
let segment_meta = index.new_segment_meta(merged_segment.id(), num_docs);
let after_merge_segment_entry = SegmentEntry::new(segment_meta.clone(), delete_cursor, None);
Ok(after_merge_segment_entry)
@@ -282,7 +280,7 @@ impl SegmentUpdater {
fn list_files(&self) -> HashSet<PathBuf> {
let mut files = HashSet::new();
files.insert(META_FILEPATH.to_path_buf());
for segment_meta in self.0.index.inventory().all() {
for segment_meta in self.0.index.list_all_segment_metas() {
files.extend(segment_meta.list_files());
}
files

View File

@@ -49,7 +49,7 @@ pub struct SegmentWriter {
fast_field_writers: FastFieldsWriter,
fieldnorms_writer: FieldNormsWriter,
doc_opstamps: Vec<Opstamp>,
tokenizers: Vec<Option<Box<dyn BoxedTokenizer>>>,
tokenizers: Vec<Option<BoxedTokenizer>>,
}
impl SegmentWriter {

View File

@@ -1,5 +1,4 @@
#![doc(html_logo_url = "http://fulmicoton.com/tantivy-logo/tantivy-logo.png")]
#![recursion_limit = "100"]
#![cfg_attr(all(feature = "unstable", test), feature(test))]
#![cfg_attr(feature = "cargo-clippy", allow(clippy::module_inception))]
#![doc(test(attr(allow(unused_variables), deny(warnings))))]
@@ -11,21 +10,12 @@
//! Think `Lucene`, but in Rust.
//!
//! ```rust
//! # extern crate tempfile;
//! #
//! #[macro_use]
//! extern crate tantivy;
//!
//! // ...
//!
//! # use std::path::Path;
//! # use tempfile::TempDir;
//! # use tantivy::Index;
//! # use tantivy::schema::*;
//! # use tantivy::{Score, DocAddress};
//! # use tantivy::collector::TopDocs;
//! # use tantivy::query::QueryParser;
//! # use tantivy::schema::*;
//! # use tantivy::{doc, DocAddress, Index, Score};
//! #
//! # fn main() {
//! # // Let's create a temporary directory for the

View File

@@ -22,11 +22,9 @@
///
/// # Example
///
/// ```
/// #[macro_use]
/// extern crate tantivy;
///
/// ```rust
/// use tantivy::schema::{Schema, TEXT, FAST};
/// use tantivy::doc;
///
/// //...
///

View File

@@ -8,15 +8,13 @@ use crate::termdict::{TermDictionary, TermStreamer};
use crate::DocId;
use crate::TantivyError;
use crate::{Result, SkipResult};
use std::sync::Arc;
use tantivy_fst::Automaton;
/// A weight struct for Fuzzy Term and Regex Queries
pub struct AutomatonWeight<A>
where
A: Automaton + Send + Sync + 'static,
{
pub struct AutomatonWeight<A> {
field: Field,
automaton: A,
automaton: Arc<A>,
}
impl<A> AutomatonWeight<A>
@@ -24,12 +22,16 @@ where
A: Automaton + Send + Sync + 'static,
{
/// Create a new AutomationWeight
pub fn new(field: Field, automaton: A) -> AutomatonWeight<A> {
AutomatonWeight { field, automaton }
pub fn new<IntoArcA: Into<Arc<A>>>(field: Field, automaton: IntoArcA) -> AutomatonWeight<A> {
AutomatonWeight {
field,
automaton: automaton.into(),
}
}
fn automaton_stream<'a>(&'a self, term_dict: &'a TermDictionary) -> TermStreamer<'a, &'a A> {
let term_stream_builder = term_dict.search(&self.automaton);
let automaton: &A = &*self.automaton;
let term_stream_builder = term_dict.search(automaton);
term_stream_builder.into_stream()
}
}

View File

@@ -1,12 +1,14 @@
use crate::error::TantivyError::InvalidArgument;
use crate::query::{AutomatonWeight, Query, Weight};
use crate::schema::Term;
use crate::termdict::WrappedDFA;
use crate::Result;
use crate::Searcher;
use levenshtein_automata::{LevenshteinAutomatonBuilder, DFA};
use levenshtein_automata::{Distance, LevenshteinAutomatonBuilder, DFA};
use once_cell::sync::Lazy;
use std::collections::HashMap;
use std::ops::Range;
use derive_builder::Builder;
/// A range of Levenshtein distances that we will build DFAs for our terms
/// The computation is exponential, so best keep it to low single digits
@@ -24,16 +26,46 @@ static LEV_BUILDER: Lazy<HashMap<(u8, bool), LevenshteinAutomatonBuilder>> = Laz
lev_builder_cache
});
#[derive(Builder, Default, Clone, Debug)]
pub struct FuzzyConfiguration {
/// How many changes are we going to allow
pub distance: u8,
/// Should a transposition cost 1 or 2?
#[builder(default)]
pub transposition_cost_one: bool,
#[builder(default)]
pub prefix: bool,
/// If true, only the term with a levenshtein of exactly `distance` will match.
/// If false, terms at a distance `<=` to `distance` will match.
#[builder(default)]
pub exact_distance: bool,
}
fn build_dfa(fuzzy_configuration: &FuzzyConfiguration, term_text: &str) -> Result<DFA> {
let automaton_builder = LEV_BUILDER
.get(&(fuzzy_configuration.distance, fuzzy_configuration.transposition_cost_one))
.ok_or_else(|| {
InvalidArgument(format!(
"Levenshtein distance of {} is not allowed. Choose a value in the {:?} range",
fuzzy_configuration.distance, VALID_LEVENSHTEIN_DISTANCE_RANGE
))
})?;
if fuzzy_configuration.prefix {
Ok(automaton_builder.build_prefix_dfa(term_text))
} else {
Ok(automaton_builder.build_dfa(term_text))
}
}
/// A Fuzzy Query matches all of the documents
/// containing a specific term that is within
/// Levenshtein distance
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::{Count, TopDocs};
/// use tantivy::query::FuzzyTermQuery;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -43,32 +75,19 @@ static LEV_BUILDER: Lazy<HashMap<(u8, bool), LevenshteinAutomatonBuilder>> = Laz
/// let index = Index::create_in_ram(schema);
/// {
/// let mut index_writer = index.writer(3_000_000)?;
/// index_writer.add_document(doc!(
/// title => "The Name of the Wind",
/// ));
/// index_writer.add_document(doc!(
/// title => "The Diary of Muadib",
/// ));
/// index_writer.add_document(doc!(
/// title => "A Dairy Cow",
/// ));
/// index_writer.add_document(doc!(
/// title => "The Diary of a Young Girl",
/// ));
/// index_writer.add_document(doc!(title => "The Name of the Wind"));
/// index_writer.add_document(doc!(title => "The Diary of Muadib"));
/// index_writer.add_document(doc!(title => "A Dairy Cow"));
/// index_writer.add_document(doc!(title => "The Diary of a Young Girl"));
/// index_writer.commit().unwrap();
/// }
/// let reader = index.reader()?;
/// let searcher = reader.searcher();
///
/// {
///
/// let term = Term::from_field_text(title, "Diary");
/// let query = FuzzyTermQuery::new(term, 1, true);
/// let (top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count)).unwrap();
/// assert_eq!(count, 2);
/// assert_eq!(top_docs.len(), 2);
/// }
///
/// let term = Term::from_field_text(title, "Diary");
/// let query = FuzzyTermQuery::new(term, 1, true);
/// let (top_docs, count) = searcher.search(&query, &(TopDocs::with_limit(2), Count)).unwrap();
/// assert_eq!(count, 2);
/// assert_eq!(top_docs.len(), 2);
/// Ok(())
/// }
/// ```
@@ -76,54 +95,58 @@ static LEV_BUILDER: Lazy<HashMap<(u8, bool), LevenshteinAutomatonBuilder>> = Laz
pub struct FuzzyTermQuery {
/// What term are we searching
term: Term,
/// How many changes are we going to allow
distance: u8,
/// Should a transposition cost 1 or 2?
transposition_cost_one: bool,
///
prefix: bool,
configuration: FuzzyConfiguration
}
impl FuzzyTermQuery {
pub fn new_from_configuration(term: Term, configuration: FuzzyConfiguration) -> FuzzyTermQuery {
FuzzyTermQuery {
term,
configuration
}
}
/// Creates a new Fuzzy Query
pub fn new(term: Term, distance: u8, transposition_cost_one: bool) -> FuzzyTermQuery {
FuzzyTermQuery {
term,
distance,
transposition_cost_one,
prefix: false,
}
}
/// Creates a new Fuzzy Query that treats transpositions as cost one rather than two
pub fn new_prefix(term: Term, distance: u8, transposition_cost_one: bool) -> FuzzyTermQuery {
FuzzyTermQuery {
term,
distance,
transposition_cost_one,
prefix: true,
}
}
fn specialized_weight(&self) -> Result<AutomatonWeight<DFA>> {
// LEV_BUILDER is a HashMap, whose `get` method returns an Option
match LEV_BUILDER.get(&(self.distance, false)) {
// Unwrap the option and build the Ok(AutomatonWeight)
Some(automaton_builder) => {
let automaton = automaton_builder.build_dfa(self.term.text());
Ok(AutomatonWeight::new(self.term.field(), automaton))
configuration: FuzzyConfiguration {
distance,
transposition_cost_one,
prefix: false,
exact_distance: false
}
None => Err(InvalidArgument(format!(
"Levenshtein distance of {} is not allowed. Choose a value in the {:?} range",
self.distance, VALID_LEVENSHTEIN_DISTANCE_RANGE
))),
}
}
}
impl Query for FuzzyTermQuery {
fn weight(&self, _searcher: &Searcher, _scoring_enabled: bool) -> Result<Box<dyn Weight>> {
Ok(Box::new(self.specialized_weight()?))
let dfa = build_dfa(&self.configuration, self.term.text())?;
// TODO optimize for distance = 0 and possibly prefix
if self.configuration.exact_distance {
let target_distance = self.configuration.distance;
let wrapped_dfa = WrappedDFA {
dfa,
condition: move |distance: Distance| distance == Distance::Exact(target_distance),
};
Ok(Box::new(AutomatonWeight::new(
self.term.field(),
wrapped_dfa,
)))
} else {
let wrapped_dfa = WrappedDFA {
dfa,
condition: move |distance: Distance| match distance {
Distance::Exact(_) => true,
Distance::AtLeast(_) => false,
},
};
Ok(Box::new(AutomatonWeight::new(
self.term.field(),
wrapped_dfa,
)))
}
}
}
@@ -136,6 +159,7 @@ mod test {
use crate::tests::assert_nearly_equals;
use crate::Index;
use crate::Term;
use super::FuzzyConfigurationBuilder;
#[test]
pub fn test_fuzzy_term() {
@@ -157,7 +181,6 @@ mod test {
let searcher = reader.searcher();
{
let term = Term::from_field_text(country_field, "japon");
let fuzzy_query = FuzzyTermQuery::new(term, 1, true);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
@@ -166,5 +189,73 @@ mod test {
let (score, _) = top_docs[0];
assert_nearly_equals(1f32, score);
}
{
let term = Term::from_field_text(country_field, "japon");
let fuzzy_conf = FuzzyConfigurationBuilder::default()
.distance(2)
.exact_distance(true)
.build()
.unwrap();
let fuzzy_query = FuzzyTermQuery::new_from_configuration(term, fuzzy_conf);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
.unwrap();
assert!(top_docs.is_empty());
}
{
let term = Term::from_field_text(country_field, "japon");
let fuzzy_conf = FuzzyConfigurationBuilder::default()
.distance(1)
.exact_distance(true)
.build()
.unwrap();
let fuzzy_query = FuzzyTermQuery::new_from_configuration(term, fuzzy_conf);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
.unwrap();
assert_eq!(top_docs.len(), 1);
}
{
let term = Term::from_field_text(country_field, "jpp");
let fuzzy_conf = FuzzyConfigurationBuilder::default()
.distance(1)
.prefix(true)
.build()
.unwrap();
let fuzzy_query = FuzzyTermQuery::new_from_configuration(term, fuzzy_conf);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
.unwrap();
assert_eq!(top_docs.len(), 1);
}
{
let term = Term::from_field_text(country_field, "jpaan");
let fuzzy_conf = FuzzyConfigurationBuilder::default()
.distance(1)
.exact_distance(true)
.transposition_cost_one(true)
.build()
.unwrap();
let fuzzy_query = FuzzyTermQuery::new_from_configuration(term, fuzzy_conf);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
.unwrap();
assert_eq!(top_docs.len(), 1);
}
{
let term = Term::from_field_text(country_field, "jpaan");
let fuzzy_conf = FuzzyConfigurationBuilder::default()
.distance(2)
.exact_distance(true)
.transposition_cost_one(false)
.build()
.unwrap();
let fuzzy_query = FuzzyTermQuery::new_from_configuration(term, fuzzy_conf);
let top_docs = searcher
.search(&fuzzy_query, &TopDocs::with_limit(2))
.unwrap();
assert_eq!(top_docs.len(), 1);
}
}
}

View File

@@ -12,7 +12,6 @@ mod exclude;
mod explanation;
mod fuzzy_query;
mod intersection;
mod occur;
mod phrase_query;
mod query;
mod query_parser;
@@ -41,9 +40,8 @@ pub use self::boolean_query::BooleanQuery;
pub use self::empty_query::{EmptyQuery, EmptyScorer, EmptyWeight};
pub use self::exclude::Exclude;
pub use self::explanation::Explanation;
pub use self::fuzzy_query::FuzzyTermQuery;
pub use self::fuzzy_query::{FuzzyTermQuery, FuzzyConfiguration, FuzzyConfigurationBuilder};
pub use self::intersection::intersect_scorers;
pub use self::occur::Occur;
pub use self::phrase_query::PhraseQuery;
pub use self::query::Query;
pub use self::query_parser::QueryParser;
@@ -55,6 +53,7 @@ pub use self::scorer::ConstScorer;
pub use self::scorer::Scorer;
pub use self::term_query::TermQuery;
pub use self::weight::Weight;
pub use tantivy_query_grammar::Occur;
#[cfg(test)]
mod tests {

View File

@@ -1,6 +1,4 @@
mod query_grammar;
mod query_parser;
mod user_input_ast;
pub mod logical_ast;
pub use self::query_parser::QueryParser;

View File

@@ -1,9 +1,5 @@
use super::logical_ast::*;
use super::query_grammar::parse_to_ast;
use super::user_input_ast::*;
use crate::core::Index;
use crate::query::occur::compose_occur;
use crate::query::query_parser::logical_ast::LogicalAST;
use crate::query::AllQuery;
use crate::query::BooleanQuery;
use crate::query::EmptyQuery;
@@ -16,11 +12,11 @@ use crate::schema::IndexRecordOption;
use crate::schema::{Field, Schema};
use crate::schema::{FieldType, Term};
use crate::tokenizer::TokenizerManager;
use combine::Parser;
use std::borrow::Cow;
use std::num::{ParseFloatError, ParseIntError};
use std::ops::Bound;
use std::str::FromStr;
use tantivy_query_grammar::{UserInputAST, UserInputBound, UserInputLeaf};
/// Possible error that may happen when parsing a query.
#[derive(Debug, PartialEq, Eq, Fail)]
@@ -222,9 +218,8 @@ impl QueryParser {
/// Parse the user query into an AST.
fn parse_query_to_logical_ast(&self, query: &str) -> Result<LogicalAST, QueryParserError> {
let (user_input_ast, _remaining) = parse_to_ast()
.parse(query)
.map_err(|_| QueryParserError::SyntaxError)?;
let user_input_ast =
tantivy_query_grammar::parse_query(query).map_err(|_| QueryParserError::SyntaxError)?;
self.compute_logical_ast(user_input_ast)
}
@@ -369,6 +364,7 @@ impl QueryParser {
match *bound {
UserInputBound::Inclusive(_) => Ok(Bound::Included(term)),
UserInputBound::Exclusive(_) => Ok(Bound::Excluded(term)),
UserInputBound::Unbounded => Ok(Bound::Unbounded),
}
}
@@ -398,7 +394,7 @@ impl QueryParser {
let mut logical_sub_queries: Vec<(Occur, LogicalAST)> = Vec::new();
for sub_query in sub_queries {
let (occur, sub_ast) = self.compute_logical_ast_with_occur(sub_query)?;
let new_occur = compose_occur(default_occur, occur);
let new_occur = Occur::compose(default_occur, occur);
logical_sub_queries.push((new_occur, sub_ast));
}
Ok((Occur::Should, LogicalAST::Clause(logical_sub_queries)))
@@ -406,7 +402,7 @@ impl QueryParser {
UserInputAST::Unary(left_occur, subquery) => {
let (right_occur, logical_sub_queries) =
self.compute_logical_ast_with_occur(*subquery)?;
Ok((compose_occur(left_occur, right_occur), logical_sub_queries))
Ok((Occur::compose(left_occur, right_occur), logical_sub_queries))
}
UserInputAST::Leaf(leaf) => {
let result_ast = self.compute_logical_ast_from_leaf(*leaf)?;
@@ -628,7 +624,7 @@ mod test {
pub fn test_parse_query_untokenized() {
test_parse_query_to_logical_ast_helper(
"nottokenized:\"wordone wordtwo\"",
"Term([0, 0, 0, 7, 119, 111, 114, 100, 111, 110, \
"Term(field=7,bytes=[119, 111, 114, 100, 111, 110, \
101, 32, 119, 111, 114, 100, 116, 119, 111])",
false,
);
@@ -672,7 +668,7 @@ mod test {
.is_ok());
test_parse_query_to_logical_ast_helper(
"unsigned:2324",
"Term([0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 9, 20])",
"Term(field=3,bytes=[0, 0, 0, 0, 0, 0, 9, 20])",
false,
);
@@ -693,19 +689,19 @@ mod test {
pub fn test_parse_query_to_ast_single_term() {
test_parse_query_to_logical_ast_helper(
"title:toto",
"Term([0, 0, 0, 0, 116, 111, 116, 111])",
"Term(field=0,bytes=[116, 111, 116, 111])",
false,
);
test_parse_query_to_logical_ast_helper(
"+title:toto",
"Term([0, 0, 0, 0, 116, 111, 116, 111])",
"Term(field=0,bytes=[116, 111, 116, 111])",
false,
);
test_parse_query_to_logical_ast_helper(
"+title:toto -titi",
"(+Term([0, 0, 0, 0, 116, 111, 116, 111]) \
-(Term([0, 0, 0, 0, 116, 105, 116, 105]) \
Term([0, 0, 0, 1, 116, 105, 116, 105])))",
"(+Term(field=0,bytes=[116, 111, 116, 111]) \
-(Term(field=0,bytes=[116, 105, 116, 105]) \
Term(field=1,bytes=[116, 105, 116, 105])))",
false,
);
assert_eq!(
@@ -720,14 +716,13 @@ mod test {
pub fn test_parse_query_to_ast_two_terms() {
test_parse_query_to_logical_ast_helper(
"title:a b",
"(Term([0, 0, 0, 0, 97]) (Term([0, 0, 0, 0, 98]) \
Term([0, 0, 0, 1, 98])))",
"(Term(field=0,bytes=[97]) (Term(field=0,bytes=[98]) Term(field=1,bytes=[98])))",
false,
);
test_parse_query_to_logical_ast_helper(
"title:\"a b\"",
"\"[(0, Term([0, 0, 0, 0, 97])), \
(1, Term([0, 0, 0, 0, 98]))]\"",
"\"[(0, Term(field=0,bytes=[97])), \
(1, Term(field=0,bytes=[98]))]\"",
false,
);
}
@@ -736,45 +731,43 @@ mod test {
pub fn test_parse_query_to_ast_ranges() {
test_parse_query_to_logical_ast_helper(
"title:[a TO b]",
"(Included(Term([0, 0, 0, 0, 97])) TO \
Included(Term([0, 0, 0, 0, 98])))",
"(Included(Term(field=0,bytes=[97])) TO Included(Term(field=0,bytes=[98])))",
false,
);
test_parse_query_to_logical_ast_helper(
"[a TO b]",
"((Included(Term([0, 0, 0, 0, 97])) TO \
Included(Term([0, 0, 0, 0, 98]))) \
(Included(Term([0, 0, 0, 1, 97])) TO \
Included(Term([0, 0, 0, 1, 98]))))",
"((Included(Term(field=0,bytes=[97])) TO \
Included(Term(field=0,bytes=[98]))) \
(Included(Term(field=1,bytes=[97])) TO \
Included(Term(field=1,bytes=[98]))))",
false,
);
test_parse_query_to_logical_ast_helper(
"title:{titi TO toto}",
"(Excluded(Term([0, 0, 0, 0, 116, 105, 116, 105])) TO \
Excluded(Term([0, 0, 0, 0, 116, 111, 116, 111])))",
"(Excluded(Term(field=0,bytes=[116, 105, 116, 105])) TO \
Excluded(Term(field=0,bytes=[116, 111, 116, 111])))",
false,
);
test_parse_query_to_logical_ast_helper(
"title:{* TO toto}",
"(Unbounded TO \
Excluded(Term([0, 0, 0, 0, 116, 111, 116, 111])))",
"(Unbounded TO Excluded(Term(field=0,bytes=[116, 111, 116, 111])))",
false,
);
test_parse_query_to_logical_ast_helper(
"title:{titi TO *}",
"(Excluded(Term([0, 0, 0, 0, 116, 105, 116, 105])) TO Unbounded)",
"(Excluded(Term(field=0,bytes=[116, 105, 116, 105])) TO Unbounded)",
false,
);
test_parse_query_to_logical_ast_helper(
"signed:{-5 TO 3}",
"(Excluded(Term([0, 0, 0, 2, 127, 255, 255, 255, 255, 255, 255, 251])) TO \
Excluded(Term([0, 0, 0, 2, 128, 0, 0, 0, 0, 0, 0, 3])))",
"(Excluded(Term(field=2,bytes=[127, 255, 255, 255, 255, 255, 255, 251])) TO \
Excluded(Term(field=2,bytes=[128, 0, 0, 0, 0, 0, 0, 3])))",
false,
);
test_parse_query_to_logical_ast_helper(
"float:{-1.5 TO 1.5}",
"(Excluded(Term([0, 0, 0, 10, 64, 7, 255, 255, 255, 255, 255, 255])) TO \
Excluded(Term([0, 0, 0, 10, 191, 248, 0, 0, 0, 0, 0, 0])))",
"(Excluded(Term(field=10,bytes=[64, 7, 255, 255, 255, 255, 255, 255])) TO \
Excluded(Term(field=10,bytes=[191, 248, 0, 0, 0, 0, 0, 0])))",
false,
);
@@ -879,19 +872,19 @@ mod test {
pub fn test_parse_query_to_ast_conjunction() {
test_parse_query_to_logical_ast_helper(
"title:toto",
"Term([0, 0, 0, 0, 116, 111, 116, 111])",
"Term(field=0,bytes=[116, 111, 116, 111])",
true,
);
test_parse_query_to_logical_ast_helper(
"+title:toto",
"Term([0, 0, 0, 0, 116, 111, 116, 111])",
"Term(field=0,bytes=[116, 111, 116, 111])",
true,
);
test_parse_query_to_logical_ast_helper(
"+title:toto -titi",
"(+Term([0, 0, 0, 0, 116, 111, 116, 111]) \
-(Term([0, 0, 0, 0, 116, 105, 116, 105]) \
Term([0, 0, 0, 1, 116, 105, 116, 105])))",
"(+Term(field=0,bytes=[116, 111, 116, 111]) \
-(Term(field=0,bytes=[116, 105, 116, 105]) \
Term(field=1,bytes=[116, 105, 116, 105])))",
true,
);
assert_eq!(
@@ -902,15 +895,15 @@ mod test {
);
test_parse_query_to_logical_ast_helper(
"title:a b",
"(+Term([0, 0, 0, 0, 97]) \
+(Term([0, 0, 0, 0, 98]) \
Term([0, 0, 0, 1, 98])))",
"(+Term(field=0,bytes=[97]) \
+(Term(field=0,bytes=[98]) \
Term(field=1,bytes=[98])))",
true,
);
test_parse_query_to_logical_ast_helper(
"title:\"a b\"",
"\"[(0, Term([0, 0, 0, 0, 97])), \
(1, Term([0, 0, 0, 0, 98]))]\"",
"\"[(0, Term(field=0,bytes=[97])), \
(1, Term(field=0,bytes=[98]))]\"",
true,
);
}
@@ -919,10 +912,8 @@ mod test {
pub fn test_query_parser_hyphen() {
test_parse_query_to_logical_ast_helper(
"title:www-form-encoded",
"\"[(0, Term([0, 0, 0, 0, 119, 119, 119])), \
(1, Term([0, 0, 0, 0, 102, 111, 114, 109])), \
(2, Term([0, 0, 0, 0, 101, 110, 99, 111, 100, 101, 100]))]\"",
false,
"\"[(0, Term(field=0,bytes=[119, 119, 119])), (1, Term(field=0,bytes=[102, 111, 114, 109])), (2, Term(field=0,bytes=[101, 110, 99, 111, 100, 101, 100]))]\"",
false
);
}
}

View File

@@ -38,14 +38,10 @@ fn map_bound<TFrom, TTo, Transform: Fn(&TFrom) -> TTo>(
/// # Example
///
/// ```rust
///
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::Index;
/// # use tantivy::schema::{Schema, INDEXED};
/// # use tantivy::collector::Count;
/// # use tantivy::Result;
/// # use tantivy::query::RangeQuery;
/// # use tantivy::schema::{Schema, INDEXED};
/// # use tantivy::{doc, Index, Result};
/// #
/// # fn run() -> Result<()> {
/// # let mut schema_builder = Schema::builder();
@@ -338,39 +334,33 @@ mod tests {
use crate::collector::Count;
use crate::schema::{Document, Field, Schema, INDEXED};
use crate::Index;
use crate::Result;
use std::collections::Bound;
#[test]
fn test_range_query_simple() {
fn run() -> Result<()> {
let mut schema_builder = Schema::builder();
let year_field = schema_builder.add_u64_field("year", INDEXED);
let schema = schema_builder.build();
let mut schema_builder = Schema::builder();
let year_field = schema_builder.add_u64_field("year", INDEXED);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
{
let mut index_writer = index.writer_with_num_threads(1, 6_000_000).unwrap();
for year in 1950u64..2017u64 {
let num_docs_within_year = 10 + (year - 1950) * (year - 1950);
for _ in 0..num_docs_within_year {
index_writer.add_document(doc!(year_field => year));
}
let index = Index::create_in_ram(schema);
{
let mut index_writer = index.writer_with_num_threads(1, 6_000_000).unwrap();
for year in 1950u64..2017u64 {
let num_docs_within_year = 10 + (year - 1950) * (year - 1950);
for _ in 0..num_docs_within_year {
index_writer.add_document(doc!(year_field => year));
}
index_writer.commit().unwrap();
}
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let docs_in_the_sixties = RangeQuery::new_u64(year_field, 1960u64..1970u64);
// ... or `1960..=1969` if inclusive range is enabled.
let count = searcher.search(&docs_in_the_sixties, &Count)?;
assert_eq!(count, 2285);
Ok(())
index_writer.commit().unwrap();
}
let reader = index.reader().unwrap();
let searcher = reader.searcher();
run().unwrap();
let docs_in_the_sixties = RangeQuery::new_u64(year_field, 1960u64..1970u64);
// ... or `1960..=1969` if inclusive range is enabled.
let count = searcher.search(&docs_in_the_sixties, &Count).unwrap();
assert_eq!(count, 2285);
}
#[test]

View File

@@ -4,22 +4,18 @@ use crate::schema::Field;
use crate::Result;
use crate::Searcher;
use std::clone::Clone;
use std::sync::Arc;
use tantivy_fst::Regex;
// A Regex Query matches all of the documents
/// A Regex Query matches all of the documents
/// containing a specific term that matches
/// a regex pattern
/// A Fuzzy Query matches all of the documents
/// containing a specific term that is within
/// Levenshtein distance
/// a regex pattern.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::Count;
/// use tantivy::query::RegexQuery;
/// use tantivy::schema::{Schema, TEXT};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -48,7 +44,7 @@ use tantivy_fst::Regex;
/// let searcher = reader.searcher();
///
/// let term = Term::from_field_text(title, "Diary");
/// let query = RegexQuery::new("d[ai]{2}ry".to_string(), title);
/// let query = RegexQuery::from_pattern("d[ai]{2}ry", title)?;
/// let count = searcher.search(&query, &Count)?;
/// assert_eq!(count, 3);
/// Ok(())
@@ -56,30 +52,34 @@ use tantivy_fst::Regex;
/// ```
#[derive(Debug, Clone)]
pub struct RegexQuery {
regex_pattern: String,
regex: Arc<Regex>,
field: Field,
}
impl RegexQuery {
/// Creates a new Fuzzy Query
pub fn new(regex_pattern: String, field: Field) -> RegexQuery {
/// Creates a new RegexQuery from a given pattern
pub fn from_pattern(regex_pattern: &str, field: Field) -> Result<Self> {
let regex = Regex::new(&regex_pattern)
.map_err(|_| TantivyError::InvalidArgument(regex_pattern.to_string()))?;
Ok(RegexQuery::from_regex(regex, field))
}
/// Creates a new RegexQuery from a fully built Regex
pub fn from_regex<T: Into<Arc<Regex>>>(regex: T, field: Field) -> Self {
RegexQuery {
regex_pattern,
regex: regex.into(),
field,
}
}
fn specialized_weight(&self) -> Result<AutomatonWeight<Regex>> {
let automaton = Regex::new(&self.regex_pattern)
.map_err(|_| TantivyError::InvalidArgument(self.regex_pattern.clone()))?;
Ok(AutomatonWeight::new(self.field, automaton))
fn specialized_weight(&self) -> AutomatonWeight<Regex> {
AutomatonWeight::new(self.field, self.regex.clone())
}
}
impl Query for RegexQuery {
fn weight(&self, _searcher: &Searcher, _scoring_enabled: bool) -> Result<Box<dyn Weight>> {
Ok(Box::new(self.specialized_weight()?))
Ok(Box::new(self.specialized_weight()))
}
}
@@ -87,13 +87,14 @@ impl Query for RegexQuery {
mod test {
use super::RegexQuery;
use crate::collector::TopDocs;
use crate::schema::Schema;
use crate::schema::TEXT;
use crate::schema::{Field, Schema};
use crate::tests::assert_nearly_equals;
use crate::Index;
use crate::{Index, IndexReader};
use std::sync::Arc;
use tantivy_fst::Regex;
#[test]
pub fn test_regex_query() {
fn build_test_index() -> (IndexReader, Field) {
let mut schema_builder = Schema::builder();
let country_field = schema_builder.add_text_field("country", TEXT);
let schema = schema_builder.build();
@@ -109,20 +110,65 @@ mod test {
index_writer.commit().unwrap();
}
let reader = index.reader().unwrap();
(reader, country_field)
}
fn verify_regex_query(
query_matching_one: RegexQuery,
query_matching_zero: RegexQuery,
reader: IndexReader,
) {
let searcher = reader.searcher();
{
let regex_query = RegexQuery::new("jap[ao]n".to_string(), country_field);
let scored_docs = searcher
.search(&regex_query, &TopDocs::with_limit(2))
.search(&query_matching_one, &TopDocs::with_limit(2))
.unwrap();
assert_eq!(scored_docs.len(), 1, "Expected only 1 document");
let (score, _) = scored_docs[0];
assert_nearly_equals(1f32, score);
}
let regex_query = RegexQuery::new("jap[A-Z]n".to_string(), country_field);
let top_docs = searcher
.search(&regex_query, &TopDocs::with_limit(2))
.search(&query_matching_zero, &TopDocs::with_limit(2))
.unwrap();
assert!(top_docs.is_empty(), "Expected ZERO document");
}
#[test]
pub fn test_regex_query() {
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_pattern("jap[ao]n", field).unwrap();
let matching_zero = RegexQuery::from_pattern("jap[A-Z]n", field).unwrap();
verify_regex_query(matching_one, matching_zero, reader);
}
#[test]
pub fn test_construct_from_regex() {
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_regex(Regex::new("jap[ao]n").unwrap(), field);
let matching_zero = RegexQuery::from_regex(Regex::new("jap[A-Z]n").unwrap(), field);
verify_regex_query(matching_one, matching_zero, reader);
}
#[test]
pub fn test_construct_from_reused_regex() {
let r1 = Arc::new(Regex::new("jap[ao]n").unwrap());
let r2 = Arc::new(Regex::new("jap[A-Z]n").unwrap());
let (reader, field) = build_test_index();
let matching_one = RegexQuery::from_regex(r1.clone(), field);
let matching_zero = RegexQuery::from_regex(r2.clone(), field);
verify_regex_query(matching_one, matching_zero, reader.clone());
let matching_one = RegexQuery::from_regex(r1.clone(), field);
let matching_zero = RegexQuery::from_regex(r2.clone(), field);
verify_regex_query(matching_one, matching_zero, reader.clone());
}
}

View File

@@ -12,7 +12,7 @@ mod tests {
use crate::collector::TopDocs;
use crate::docset::DocSet;
use crate::query::{Query, QueryParser, Scorer, TermQuery};
use crate::schema::{IndexRecordOption, Schema, STRING, TEXT};
use crate::schema::{Field, IndexRecordOption, Schema, STRING, TEXT};
use crate::tests::assert_nearly_equals;
use crate::Index;
use crate::Term;
@@ -114,4 +114,16 @@ mod tests {
let reader = index.reader().unwrap();
assert_eq!(term_query.count(&*reader.searcher()).unwrap(), 1);
}
#[test]
fn test_term_query_debug() {
let term_query = TermQuery::new(
Term::from_field_text(Field(1), "hello"),
IndexRecordOption::WithFreqs,
);
assert_eq!(
format!("{:?}", term_query),
"TermQuery(Term(field=1,bytes=[104, 101, 108, 108, 111]))"
);
}
}

View File

@@ -7,6 +7,7 @@ use crate::Result;
use crate::Searcher;
use crate::Term;
use std::collections::BTreeSet;
use std::fmt;
/// A Term query matches all of the documents
/// containing a specific term.
@@ -19,12 +20,10 @@ use std::collections::BTreeSet;
/// * `field norm` - number of tokens in the field.
///
/// ```rust
/// #[macro_use]
/// extern crate tantivy;
/// use tantivy::schema::{Schema, TEXT, IndexRecordOption};
/// use tantivy::{Index, Result, Term};
/// use tantivy::collector::{Count, TopDocs};
/// use tantivy::query::TermQuery;
/// use tantivy::schema::{Schema, TEXT, IndexRecordOption};
/// use tantivy::{doc, Index, Result, Term};
///
/// # fn main() { example().unwrap(); }
/// fn example() -> Result<()> {
@@ -61,12 +60,18 @@ use std::collections::BTreeSet;
/// Ok(())
/// }
/// ```
#[derive(Clone, Debug)]
#[derive(Clone)]
pub struct TermQuery {
term: Term,
index_record_option: IndexRecordOption,
}
impl fmt::Debug for TermQuery {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
write!(f, "TermQuery({:?})", self.term)
}
}
impl TermQuery {
/// Creates a new term query.
pub fn new(term: Term, segment_postings_options: IndexRecordOption) -> TermQuery {

View File

@@ -10,7 +10,7 @@ use serde_json::Value as JsonValue;
/// Possible error that may occur while parsing a field value
/// At this point the JSON is known to be valid.
#[derive(Debug)]
#[derive(Debug, PartialEq)]
pub enum ValueParsingError {
/// Encountered a numerical value that overflows or underflow its integer type.
OverflowError(String),

View File

@@ -246,6 +246,25 @@ impl Schema {
self.0.fields_map.get(field_name).cloned()
}
/// Create a named document off the doc.
pub fn convert_named_doc(
&self,
named_doc: NamedFieldDocument,
) -> Result<Document, DocParsingError> {
let mut document = Document::new();
for (field_name, values) in named_doc.0 {
if let Some(field) = self.get_field(&field_name) {
for value in values {
let field_value = FieldValue::new(field, value);
document.add(field_value);
}
} else {
return Err(DocParsingError::NoSuchFieldInSchema(field_name));
}
}
Ok(document)
}
/// Create a named document off the doc.
pub fn to_named_doc(&self, doc: &Document) -> NamedFieldDocument {
let mut field_map = BTreeMap::new();
@@ -282,28 +301,26 @@ impl Schema {
let mut doc = Document::default();
for (field_name, json_value) in json_obj.iter() {
match self.get_field(field_name) {
Some(field) => {
let field_entry = self.get_field_entry(field);
let field_type = field_entry.field_type();
match *json_value {
JsonValue::Array(ref json_items) => {
for json_item in json_items {
let value = field_type.value_from_json(json_item).map_err(|e| {
DocParsingError::ValueError(field_name.clone(), e)
})?;
doc.add(FieldValue::new(field, value));
}
}
_ => {
let value = field_type
.value_from_json(json_value)
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
doc.add(FieldValue::new(field, value));
}
let field = self
.get_field(field_name)
.ok_or_else(|| DocParsingError::NoSuchFieldInSchema(field_name.clone()))?;
let field_entry = self.get_field_entry(field);
let field_type = field_entry.field_type();
match *json_value {
JsonValue::Array(ref json_items) => {
for json_item in json_items {
let value = field_type
.value_from_json(json_item)
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
doc.add(FieldValue::new(field, value));
}
}
None => return Err(DocParsingError::NoSuchFieldInSchema(field_name.clone())),
_ => {
let value = field_type
.value_from_json(json_value)
.map_err(|e| DocParsingError::ValueError(field_name.clone(), e))?;
doc.add(FieldValue::new(field, value));
}
}
}
Ok(doc)
@@ -360,7 +377,7 @@ impl<'de> Deserialize<'de> for Schema {
/// Error that may happen when deserializing
/// a document from JSON.
#[derive(Debug, Fail)]
#[derive(Debug, Fail, PartialEq)]
pub enum DocParsingError {
/// The payload given is not valid JSON.
#[fail(display = "The provided string is not valid JSON")]
@@ -369,7 +386,10 @@ pub enum DocParsingError {
#[fail(display = "The field '{:?}' could not be parsed: {:?}", _0, _1)]
ValueError(String, ValueParsingError),
/// The json-document contains a field that is not declared in the schema.
#[fail(display = "The json-document contains an unknown field: {:?}", _0)]
#[fail(
display = "The document contains a field that is not declared in the schema: {:?}",
_0
)]
NoSuchFieldInSchema(String),
}
@@ -381,6 +401,7 @@ mod tests {
use crate::schema::*;
use matches::{assert_matches, matches};
use serde_json;
use std::collections::BTreeMap;
#[test]
pub fn is_indexed_test() {
@@ -495,6 +516,54 @@ mod tests {
assert_eq!(doc, doc_serdeser);
}
#[test]
pub fn test_document_from_nameddoc() {
let mut schema_builder = Schema::builder();
let title = schema_builder.add_text_field("title", TEXT);
let val = schema_builder.add_i64_field("val", INDEXED);
let schema = schema_builder.build();
let mut named_doc_map = BTreeMap::default();
named_doc_map.insert(
"title".to_string(),
vec![Value::from("title1"), Value::from("title2")],
);
named_doc_map.insert(
"val".to_string(),
vec![Value::from(14u64), Value::from(-1i64)],
);
let doc = schema
.convert_named_doc(NamedFieldDocument(named_doc_map))
.unwrap();
assert_eq!(
doc.get_all(title),
vec![
&Value::from("title1".to_string()),
&Value::from("title2".to_string())
]
);
assert_eq!(
doc.get_all(val),
vec![&Value::from(14u64), &Value::from(-1i64)]
);
}
#[test]
pub fn test_document_from_nameddoc_error() {
let schema = Schema::builder().build();
let mut named_doc_map = BTreeMap::default();
named_doc_map.insert(
"title".to_string(),
vec![Value::from("title1"), Value::from("title2")],
);
let err = schema
.convert_named_doc(NamedFieldDocument(named_doc_map))
.unwrap_err();
assert_eq!(
err,
DocParsingError::NoSuchFieldInSchema("title".to_string())
);
}
#[test]
pub fn test_parse_document() {
let mut schema_builder = Schema::builder();

View File

@@ -224,7 +224,12 @@ where
impl fmt::Debug for Term {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "Term({:?})", &self.0[..])
write!(
f,
"Term(field={},bytes={:?})",
self.field().0,
self.value_bytes()
)
}
}

View File

@@ -63,7 +63,7 @@ impl FragmentCandidate {
fn try_add_token(&mut self, token: &Token, terms: &BTreeMap<String, f32>) {
self.stop_offset = token.offset_to;
if let Some(score) = terms.get(&token.text.to_lowercase()) {
if let Some(&score) = terms.get(&token.text.to_lowercase()) {
self.score += score;
self.highlighted
.push(HighlightSection::new(token.offset_from, token.offset_to));
@@ -142,7 +142,7 @@ impl Snippet {
/// Fragments must be valid in the sense that `&text[fragment.start..fragment.stop]`\
/// has to be a valid string.
fn search_fragments<'a>(
tokenizer: &dyn BoxedTokenizer,
tokenizer: &BoxedTokenizer,
text: &'a str,
terms: &BTreeMap<String, f32>,
max_num_chars: usize,
@@ -150,7 +150,6 @@ fn search_fragments<'a>(
let mut token_stream = tokenizer.token_stream(text);
let mut fragment = FragmentCandidate::new(0);
let mut fragments: Vec<FragmentCandidate> = vec![];
while let Some(next) = token_stream.next() {
if (next.offset_to - fragment.start_offset) > max_num_chars {
if fragment.score > 0.0 {
@@ -214,11 +213,9 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
/// # Example
///
/// ```rust
/// # #[macro_use]
/// # extern crate tantivy;
/// # use tantivy::Index;
/// # use tantivy::schema::{Schema, TEXT};
/// # use tantivy::query::QueryParser;
/// # use tantivy::schema::{Schema, TEXT};
/// # use tantivy::{doc, Index};
/// use tantivy::SnippetGenerator;
///
/// # fn main() -> tantivy::Result<()> {
@@ -254,7 +251,7 @@ fn select_best_fragment_combination(fragments: &[FragmentCandidate], text: &str)
/// ```
pub struct SnippetGenerator {
terms_text: BTreeMap<String, f32>,
tokenizer: Box<dyn BoxedTokenizer>,
tokenizer: BoxedTokenizer,
field: Field,
max_num_chars: usize,
}
@@ -316,12 +313,8 @@ impl SnippetGenerator {
/// Generates a snippet for the given text.
pub fn snippet(&self, text: &str) -> Snippet {
let fragment_candidates = search_fragments(
&*self.tokenizer,
&text,
&self.terms_text,
self.max_num_chars,
);
let fragment_candidates =
search_fragments(&self.tokenizer, &text, &self.terms_text, self.max_num_chars);
select_best_fragment_combination(&fragment_candidates[..], &text)
}
}
@@ -331,7 +324,7 @@ mod tests {
use super::{search_fragments, select_best_fragment_combination};
use crate::query::QueryParser;
use crate::schema::{IndexRecordOption, Schema, TextFieldIndexing, TextOptions, TEXT};
use crate::tokenizer::{box_tokenizer, SimpleTokenizer};
use crate::tokenizer::SimpleTokenizer;
use crate::Index;
use crate::SnippetGenerator;
use maplit::btreemap;
@@ -355,12 +348,12 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let terms = btreemap! {
String::from("rust") => 1.0,
String::from("language") => 0.9
};
let fragments = search_fragments(&*boxed_tokenizer, TEST_TEXT, &terms, 100);
let fragments = search_fragments(&boxed_tokenizer, TEST_TEXT, &terms, 100);
assert_eq!(fragments.len(), 7);
{
let first = &fragments[0];
@@ -382,13 +375,13 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_scored_fragment() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
{
let terms = btreemap! {
String::from("rust") =>1.0f32,
String::from("language") => 0.9f32
};
let fragments = search_fragments(&*boxed_tokenizer, TEST_TEXT, &terms, 20);
let fragments = search_fragments(&boxed_tokenizer, TEST_TEXT, &terms, 20);
{
let first = &fragments[0];
assert_eq!(first.score, 1.0);
@@ -397,13 +390,13 @@ Survey in 2016, 2017, and 2018."#;
let snippet = select_best_fragment_combination(&fragments[..], &TEST_TEXT);
assert_eq!(snippet.to_html(), "<b>Rust</b> is a systems")
}
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
{
let terms = btreemap! {
String::from("rust") =>0.9f32,
String::from("language") => 1.0f32
};
let fragments = search_fragments(&*boxed_tokenizer, TEST_TEXT, &terms, 20);
let fragments = search_fragments(&boxed_tokenizer, TEST_TEXT, &terms, 20);
//assert_eq!(fragments.len(), 7);
{
let first = &fragments[0];
@@ -417,14 +410,14 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_in_second_fragment() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let text = "a b c d e f g";
let mut terms = BTreeMap::new();
terms.insert(String::from("c"), 1.0);
let fragments = search_fragments(&*boxed_tokenizer, &text, &terms, 3);
let fragments = search_fragments(&boxed_tokenizer, &text, &terms, 3);
assert_eq!(fragments.len(), 1);
{
@@ -441,14 +434,14 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_with_term_at_the_end_of_fragment() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let text = "a b c d e f f g";
let mut terms = BTreeMap::new();
terms.insert(String::from("f"), 1.0);
let fragments = search_fragments(&*boxed_tokenizer, &text, &terms, 3);
let fragments = search_fragments(&boxed_tokenizer, &text, &terms, 3);
assert_eq!(fragments.len(), 2);
{
@@ -465,7 +458,7 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_with_second_fragment_has_the_highest_score() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let text = "a b c d e f g";
@@ -473,7 +466,7 @@ Survey in 2016, 2017, and 2018."#;
terms.insert(String::from("f"), 1.0);
terms.insert(String::from("a"), 0.9);
let fragments = search_fragments(&*boxed_tokenizer, &text, &terms, 7);
let fragments = search_fragments(&boxed_tokenizer, &text, &terms, 7);
assert_eq!(fragments.len(), 2);
{
@@ -490,14 +483,14 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_with_term_not_in_text() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let text = "a b c d";
let mut terms = BTreeMap::new();
terms.insert(String::from("z"), 1.0);
let fragments = search_fragments(&*boxed_tokenizer, &text, &terms, 3);
let fragments = search_fragments(&boxed_tokenizer, &text, &terms, 3);
assert_eq!(fragments.len(), 0);
@@ -508,12 +501,12 @@ Survey in 2016, 2017, and 2018."#;
#[test]
fn test_snippet_with_no_terms() {
let boxed_tokenizer = box_tokenizer(SimpleTokenizer);
let boxed_tokenizer = SimpleTokenizer.into();
let text = "a b c d";
let terms = BTreeMap::new();
let fragments = search_fragments(&*boxed_tokenizer, &text, &terms, 3);
let fragments = search_fragments(&boxed_tokenizer, &text, &terms, 3);
assert_eq!(fragments.len(), 0);
let snippet = select_best_fragment_combination(&fragments[..], &text);

View File

@@ -31,14 +31,43 @@ mod termdict;
pub use self::merger::TermMerger;
pub use self::streamer::{TermStreamer, TermStreamerBuilder};
pub use self::termdict::{TermDictionary, TermDictionaryBuilder};
use levenshtein_automata::{Distance, DFA, SINK_STATE};
use tantivy_fst::Automaton;
pub(crate) struct WrappedDFA<Cond> {
pub dfa: DFA,
pub condition: Cond,
}
impl<Cond: Fn(Distance) -> bool> Automaton for WrappedDFA<Cond> {
type State = u32;
fn start(&self) -> Self::State {
self.dfa.initial_state()
}
fn is_match(&self, state: &Self::State) -> bool {
let distance = self.dfa.distance(*state);
(self.condition)(distance)
}
fn can_match(&self, state: &Self::State) -> bool {
*state != SINK_STATE
}
fn accept(&self, state: &Self::State, byte: u8) -> Self::State {
self.dfa.transition(*state, byte)
}
}
#[cfg(test)]
mod tests {
use super::{TermDictionary, TermDictionaryBuilder, TermStreamer};
use super::{TermDictionary, TermDictionaryBuilder, TermStreamer, WrappedDFA};
use crate::core::Index;
use crate::directory::{Directory, RAMDirectory, ReadOnlySource};
use crate::postings::TermInfo;
use crate::schema::{Document, FieldType, Schema, TEXT};
use levenshtein_automata::Distance;
use std::path::PathBuf;
use std::str;
@@ -423,9 +452,14 @@ mod tests {
// We can now build an entire dfa.
let lev_automaton_builder = LevenshteinAutomatonBuilder::new(2, true);
let automaton = lev_automaton_builder.build_dfa("Spaen");
let mut range = term_dict.search(automaton).into_stream();
let wrapped_dfa = WrappedDFA {
dfa: lev_automaton_builder.build_dfa("Spaen"),
condition: |distance| match distance {
Distance::Exact(_) => true,
Distance::AtLeast(_) => false,
},
};
let mut range = term_dict.search(wrapped_dfa).into_stream();
// get the first finding
assert!(range.advance());

View File

@@ -1,6 +1,5 @@
//! # Example
//! ```
//! extern crate tantivy;
//! ```rust
//! use tantivy::tokenizer::*;
//!
//! # fn main() {

View File

@@ -4,8 +4,7 @@
//! You must define in your schema which tokenizer should be used for
//! each of your fields :
//!
//! ```
//! extern crate tantivy;
//! ```rust
//! use tantivy::schema::*;
//!
//! # fn main() {
@@ -65,8 +64,6 @@
//! For instance, the `en_stem` is defined as follows.
//!
//! ```rust
//! # extern crate tantivy;
//!
//! use tantivy::tokenizer::*;
//!
//! # fn main() {
@@ -80,8 +77,7 @@
//! Once your tokenizer is defined, you need to
//! register it with a name in your index's [`TokenizerManager`](./struct.TokenizerManager.html).
//!
//! ```
//! # extern crate tantivy;
//! ```rust
//! # use tantivy::schema::Schema;
//! # use tantivy::tokenizer::*;
//! # use tantivy::Index;
@@ -101,8 +97,7 @@
//!
//! # Example
//!
//! ```
//! extern crate tantivy;
//! ```rust
//! use tantivy::schema::{Schema, IndexRecordOption, TextOptions, TextFieldIndexing};
//! use tantivy::tokenizer::*;
//! use tantivy::Index;
@@ -155,7 +150,6 @@ pub use self::simple_tokenizer::SimpleTokenizer;
pub use self::stemmer::{Language, Stemmer};
pub use self::stop_word_filter::StopWordFilter;
pub(crate) use self::token_stream_chain::TokenStreamChain;
pub(crate) use self::tokenizer::box_tokenizer;
pub use self::tokenizer::BoxedTokenizer;
pub use self::tokenizer::{Token, TokenFilter, TokenStream, Tokenizer};

View File

@@ -29,8 +29,7 @@ use super::{Token, TokenStream, Tokenizer};
///
/// # Example
///
/// ```
/// # extern crate tantivy;
/// ```rust
/// use tantivy::tokenizer::*;
/// # fn main() {
/// let tokenizer = NgramTokenizer::new(2, 3, false);

View File

@@ -1,6 +1,5 @@
//! # Example
//! ```
//! extern crate tantivy;
//! ```rust
//! use tantivy::tokenizer::*;
//!
//! # fn main() {

View File

@@ -1,6 +1,5 @@
//! # Example
//! ```
//! extern crate tantivy;
//! ```rust
//! use tantivy::tokenizer::*;
//!
//! # fn main() {

View File

@@ -56,8 +56,6 @@ pub trait Tokenizer<'a>: Sized + Clone {
/// # Example
///
/// ```rust
/// # extern crate tantivy;
///
/// use tantivy::tokenizer::*;
///
/// # fn main() {
@@ -80,7 +78,7 @@ pub trait Tokenizer<'a>: Sized + Clone {
}
/// A boxed tokenizer
pub trait BoxedTokenizer: Send + Sync {
trait BoxedTokenizerTrait: Send + Sync {
/// Tokenize a `&str`
fn token_stream<'a>(&self, text: &'a str) -> Box<dyn TokenStream + 'a>;
@@ -92,7 +90,41 @@ pub trait BoxedTokenizer: Send + Sync {
fn token_stream_texts<'b>(&self, texts: &'b [&'b str]) -> Box<dyn TokenStream + 'b>;
/// Return a boxed clone of the tokenizer
fn boxed_clone(&self) -> Box<dyn BoxedTokenizer>;
fn boxed_clone(&self) -> BoxedTokenizer;
}
/// A boxed tokenizer
pub struct BoxedTokenizer(Box<dyn BoxedTokenizerTrait>);
impl<T> From<T> for BoxedTokenizer
where
T: 'static + Send + Sync + for<'a> Tokenizer<'a>,
{
fn from(tokenizer: T) -> BoxedTokenizer {
BoxedTokenizer(Box::new(BoxableTokenizer(tokenizer)))
}
}
impl BoxedTokenizer {
/// Tokenize a `&str`
pub fn token_stream<'a>(&self, text: &'a str) -> Box<dyn TokenStream + 'a> {
self.0.token_stream(text)
}
/// Tokenize an array`&str`
///
/// The resulting `TokenStream` is equivalent to what would be obtained if the &str were
/// one concatenated `&str`, with an artificial position gap of `2` between the different fields
/// to prevent accidental `PhraseQuery` to match accross two terms.
pub fn token_stream_texts<'b>(&self, texts: &'b [&'b str]) -> Box<dyn TokenStream + 'b> {
self.0.token_stream_texts(texts)
}
}
impl Clone for BoxedTokenizer {
fn clone(&self) -> BoxedTokenizer {
self.0.boxed_clone()
}
}
#[derive(Clone)]
@@ -100,7 +132,7 @@ struct BoxableTokenizer<A>(A)
where
A: for<'a> Tokenizer<'a> + Send + Sync;
impl<A> BoxedTokenizer for BoxableTokenizer<A>
impl<A> BoxedTokenizerTrait for BoxableTokenizer<A>
where
A: 'static + Send + Sync + for<'a> Tokenizer<'a>,
{
@@ -125,18 +157,11 @@ where
}
}
fn boxed_clone(&self) -> Box<dyn BoxedTokenizer> {
Box::new(self.clone())
fn boxed_clone(&self) -> BoxedTokenizer {
self.0.clone().into()
}
}
pub(crate) fn box_tokenizer<A>(a: A) -> Box<dyn BoxedTokenizer>
where
A: 'static + Send + Sync + for<'a> Tokenizer<'a>,
{
Box::new(BoxableTokenizer(a))
}
impl<'b> TokenStream for Box<dyn TokenStream + 'b> {
fn advance(&mut self) -> bool {
let token_stream: &mut dyn TokenStream = self.borrow_mut();
@@ -161,7 +186,6 @@ impl<'b> TokenStream for Box<dyn TokenStream + 'b> {
/// # Example
///
/// ```
/// extern crate tantivy;
/// use tantivy::tokenizer::*;
///
/// # fn main() {
@@ -203,7 +227,6 @@ pub trait TokenStream {
/// and `.token()`.
///
/// ```
/// # extern crate tantivy;
/// # use tantivy::tokenizer::*;
/// #
/// # fn main() {

View File

@@ -1,4 +1,3 @@
use crate::tokenizer::box_tokenizer;
use crate::tokenizer::stemmer::Language;
use crate::tokenizer::BoxedTokenizer;
use crate::tokenizer::LowerCaser;
@@ -8,7 +7,6 @@ use crate::tokenizer::SimpleTokenizer;
use crate::tokenizer::Stemmer;
use crate::tokenizer::Tokenizer;
use std::collections::HashMap;
use std::ops::Deref;
use std::sync::{Arc, RwLock};
/// The tokenizer manager serves as a store for
@@ -25,16 +23,16 @@ use std::sync::{Arc, RwLock};
/// search engine.
#[derive(Clone)]
pub struct TokenizerManager {
tokenizers: Arc<RwLock<HashMap<String, Box<dyn BoxedTokenizer>>>>,
tokenizers: Arc<RwLock<HashMap<String, BoxedTokenizer>>>,
}
impl TokenizerManager {
/// Registers a new tokenizer associated with a given name.
pub fn register<A>(&self, tokenizer_name: &str, tokenizer: A)
where
A: 'static + Send + Sync + for<'a> Tokenizer<'a>,
A: Into<BoxedTokenizer>,
{
let boxed_tokenizer = box_tokenizer(tokenizer);
let boxed_tokenizer = tokenizer.into();
self.tokenizers
.write()
.expect("Acquiring the lock should never fail")
@@ -42,13 +40,12 @@ impl TokenizerManager {
}
/// Accessing a tokenizer given its name.
pub fn get(&self, tokenizer_name: &str) -> Option<Box<dyn BoxedTokenizer>> {
pub fn get(&self, tokenizer_name: &str) -> Option<BoxedTokenizer> {
self.tokenizers
.read()
.expect("Acquiring the lock should never fail")
.get(tokenizer_name)
.map(Deref::deref)
.map(BoxedTokenizer::boxed_clone)
.cloned()
}
}